The company and the digital world
Analyse and understand the impact of the digital revolution on companies. Anticipating changes in management, marketing, communication and customer relations. Studying new business models, new organisations, their risks and opportunities in a globalised economy.
Smart industry
Envision the contribution of digital for the future factory. Designing new digital tools for collecting, structuring and analysing data, based on advanced Machine Learning and Deep Learning techniques. Enable the safeguarding of expertise with digital twins and their redeployment within the company.
From Big Data to Smart Data
Collecting, storing, analysing, optimising and presenting more and more data. Rethinking traditional database mining tools and the way in which information management is approached. Design solutions that take advantage of the latest advances in knowledge representation, scaling techniques, data manipulation, Machine Learning and Data Mining. Particular interest is given to applications in tourism.
Computer Human Interaction
Recent advances in Artificial Intelligence offer new prospects for collaboration between the machine and human beings. With higher levels of multimodal understanding, machines integrate computer vision, natural language processing, Smart Materials and IoT. Creating new interaction media from flexible, active, and e-textile materials.
Professors and researchers of the Digital Group
Publications of the professors and researchers of the Digital Group
Taleb, Ihab; Guérard, Guillaume; Fauberteau, Frédéric; Nguyen, Nga
A holonic multi-agent architecture for smart grids Inproceedings
In: International Conference on Agents and Artificial Intelligence, Lisbon, Portugal, 2023, ISBN: 978-989-758-547-0.
@inproceedings{taleb_2073,
title = {A holonic multi-agent architecture for smart grids},
author = {Ihab Taleb and Guillaume Guérard and Frédéric Fauberteau and Nga Nguyen},
url = {https://icaart.scitevents.org/},
issn = {978-989-758-547-0},
year = {2023},
date = {2023-02-01},
booktitle = {International Conference on Agents and Artificial Intelligence},
address = {Lisbon, Portugal},
abstract = {The global warming and the increase of fossil fuel prices make the minimization of energy generation an important objective. Thus, smart grids are becoming more and more relevant in a context where we want to regulate the demand according to the available energy. This regulation can be operated thanks to Demand Side Management (DSM) tools. While different models and architectures have been developed for smart grids, only few papers used holonic architectures. For this, we propose in this paper a holonic architecture for smart grids. This type of architectures is relevant to smart grids as it allow the various actors in the grids to work even in the cases of technical problems. Holons in the proposed model are composed of five interconnecting agents that ensure flexibility on the various aspects. This model has been tested and has proven to work on 3 different scenarios. The first scenario simulates a grid in its healthy state. The second one simulates a grid where a region can be disconnected from a blackout for example. The third one simulates a grid with production mismanagement. Results show how the grid distributes the available energy depending on the available production, priorities (if any) and the assurance of the distribution across the various requesting holons.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Ayoub, Oussama; Li, Ludovic; Rodrigues, Christophe; Travers, Nicolas
LoGE: Expansion Locale-Globale de document non supervise avec un moteur de recherche Extensible Conference
TextMine - Groupe de travail sur la fouille de textes @ confrence EGC, Lyon, 2023.
@conference{ayoub_2078,
title = {LoGE: Expansion Locale-Globale de document non supervise avec un moteur de recherche Extensible},
author = {Oussama Ayoub and Ludovic Li and Christophe Rodrigues and Nicolas Travers},
year = {2023},
date = {2023-01-01},
booktitle = {TextMine - Groupe de travail sur la fouille de textes @ confrence EGC},
address = {Lyon},
abstract = {Avec la croissance continue des donnes textuelles que les systmes d'information modernes doivent grer, des solutions de recherche d'information sont ncessaires pour trouver efficacement le meilleur ensemble de documents pour une demande donne.Pour rsoudre ce problme, nous proposons un moteur de recherche extensible qui vise gnrer une expansion des documents en s'appuyant sur des mthodes rcentes d'apprentissage profond et mis en uvre sur Elasticsearch. Pour gnrer de nouveaux mots pour un document, un modle de langage masqu d'apprentissage profond est utilis pour infrer des mots apparents.La dmonstration montrera la fois l'extensibilit de notre cadre de gnration d'expansions, l'efficacit de l'valuation et l'impact de diverses expansions sur la correspondance des requtes.},
keywords = {},
pubstate = {accepted},
tppubtype = {conference}
}
Dobinson, Rhett; Teyssier, Marc; Steimle, Juergen; Fruchard, Bruno
MicroPress: Detecting Pressure and Hover Distance in Thumb-to-Finger Interactions Inproceedings
In: SIGGRAPH, (Ed.): Spatial User Interaction, SIGGRAPH, CA, USA, 2022, ISBN: 978-1-4503-9948-7.
@inproceedings{dobinson_2052,
title = {MicroPress: Detecting Pressure and Hover Distance in Thumb-to-Finger Interactions},
author = {Rhett Dobinson and Marc Teyssier and Juergen Steimle and Bruno Fruchard},
editor = {SIGGRAPH},
url = {https://dl.acm.org/doi/proceedings/10.1145/3565970},
issn = {978-1-4503-9948-7},
year = {2022},
date = {2022-12-01},
booktitle = {Spatial User Interaction},
publisher = {SIGGRAPH},
address = {CA, USA},
abstract = {Thumb-to-finger interactions leverage the thumb for precise, eyes-free input with high sensory bandwidth. While previous research explored gestures based on touch contact and finger movement on the skin, interactions leveraging depth such as pressure and hovering input are still underinvestigated. We present MicroPress, a proof-of-concept device that can detect both, precise thumb pressure applied on the skin and hover distance between the thumb and the index finger. We rely on a wearable IMU sensor array and a bi-directional RNN deep learning approach to enable fine-grained control while preserving the natural tactile feedback and touch of the skin. We demonstrate MicroPress' efficacy with two interactive scenarios that pose challenges for real-time input and we validate its design with a study involving eight participants. With short per user calibration steps, MicroPress is capable of predicting hover distance with 0.57mm accuracy, and on-skin pressure with 6.71% normalized pressure error at 6 locations on the index finger.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Nguyen, Nga; Batteux, Michel; Rauzy, Antoine
Modeling Cyberattack Propagation and Impacts on Cyber-Physical System Safety: An Experiment Journal Article
In: Electronics, vol. 12, no. 1, pp. 77, 2022.
@article{nguyen_2072,
title = {Modeling Cyberattack Propagation and Impacts on Cyber-Physical System Safety: An Experiment},
author = {Nga Nguyen and Michel Batteux and Antoine Rauzy},
url = {https://www.mdpi.com/2079-9292/12/1/77},
year = {2022},
date = {2022-12-01},
journal = {Electronics},
volume = {12},
number = {1},
pages = {77},
abstract = {In this article, we present an experiment we conducted with discrete event simulations
to analyze the effects of multi-step cyberattacks on the safety of cyber-physical systems. We show how to represent systems, their components (either software and/or hardware), communication links, security measures, and attacks from a malicious intruder. The latter are typically taken from the MITRE ATT&CK knowledge base. The discrete event simulation method makes it possible to represent any event affecting the system. We illustrate our approach by means of an illustrative example involving cyberattacks against the navigation system of an autonomous ship. We show how the formal modeling language AltaRica, primarily dedicated to safety analyses, can assess this illustrative example by representing the system and automatically extracting sequences of attacks,
leading to a safety-critical situation, namely the deviation of the ship by the attacker. This article aims to discuss this approach and to outline the lessons learned from our experience.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Martin-Prin, Julien; Dlala, Imen Ouled; Travers, Nicolas; Jabbour, Said
A Distributed SAT-based Framework for Closed Frequent Itemset Mining Inproceedings
In: International Conference on Advanced Data Mining and Applications, Springer, Brisbane, Australia, 2022.
@inproceedings{martin-prin_1890,
title = {A Distributed SAT-based Framework for Closed Frequent Itemset Mining},
author = {Julien Martin-Prin and Imen Ouled Dlala and Nicolas Travers and Said Jabbour},
url = {https://adma2022.uqcloud.net/important_date.html},
year = {2022},
date = {2022-11-01},
booktitle = {International Conference on Advanced Data Mining and Applications},
publisher = {Springer},
address = {Brisbane, Australia},
abstract = {Frequent Itemset Mining is an essential part of data mining. SAT-based approaches that extract frequent itemsets in big data encounter significant challenges when computing power and storage capacity are limited. This paper proposes an efficient distributed SAT-based framework for the Closed Frequent Itemset Mining problem (CFIM) which minimizes communications throughout the distributed architecture and reduces bottlenecks due to shared memory. Moreover, it enhances scalability and fault tolerance. This approach makes use of a Computation-Distributed Paradigm to enumerate efficiently the set of all closed itemsets, by reducing the processing time. To the best of our knowledge, this paper presents the first attempt towards a distributed SAT-based approach for CFIM. An extensive empirical evaluation on various real-word datasets shows the efficiency of the approach.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Guillaume, Zacharie; Richalet, Théo; Teyssier, Marc; Pauchet, Sylvain; Garcia, Jérémie; Roman, Benoit
Make-A-Morph: Exploring the design space of inflatable devices made from planar fabric Conference
Fifth European Tangible Interaction Studio, Toulouse, 2022.
@conference{guillaume_2051,
title = {Make-A-Morph: Exploring the design space of inflatable devices made from planar fabric},
author = {Zacharie Guillaume and Théo Richalet and Marc Teyssier and Sylvain Pauchet and Jérémie Garcia and Benoit Roman},
url = {https://etis.lii.enac.fr/},
year = {2022},
date = {2022-11-01},
booktitle = {Fifth European Tangible Interaction Studio},
address = {Toulouse},
abstract = {Developing inflatable devices from planar fabric is a new versatile fabrication process that allows
the development of complex geometric shapes with a beneficial mass to robustness ratio. However,
designing and fabricating with this matter is complex, and the existing design primitives for shape
change can constrain designers' creativity. We present a pipeline that allows users and designers to
explore and compose with various shape-change primitives. To this extent, we rely on digital simulation
combined with a simple digital fabrication tool. This pipeline allows to explore and visualize deformation
and develop new application cases for shape-changing interfaces. We propose a workshop around
manipulating these tools to foster discussion between designers and researchers around the future of
shape-changing interface fabrication},
keywords = {},
pubstate = {accepted},
tppubtype = {conference}
}
Foutse, Yuehgoh; Djebali, Sonia; Travers, Nicolas
A recommendation system for technology intelligence based on multiplex networks Conference
17th Women in Machine Learning Workshop @ NeurIPS, New Orleans, USA, 2022.
@conference{foutse_2060,
title = {A recommendation system for technology intelligence based on multiplex networks},
author = {Yuehgoh Foutse and Sonia Djebali and Nicolas Travers},
url = {https://sites.google.com/view/wiml2022},
year = {2022},
date = {2022-11-01},
booktitle = {17th Women in Machine Learning Workshop @ NeurIPS},
address = {New Orleans, USA},
abstract = {A recommendation system for technology intelligence based on multiplex networks},
keywords = {},
pubstate = {accepted},
tppubtype = {conference}
}
Serru, Théo; Nguyen, Nga; Batteux, Michel; Rauzy, Antoine; Blaize, Raphaël; Sagaspe, Laurent; Arbaretier, Emmanuel
Discussions About Model Based Security for Cyber Physical Systems Conference
Congrès de maîtrise des risques et de sûreté de fonctionnement, Paris, France, 2022.
@conference{serru_1806,
title = {Discussions About Model Based Security for Cyber Physical Systems},
author = {Théo Serru and Nga Nguyen and Michel Batteux and Antoine Rauzy and Raphaël Blaize and Laurent Sagaspe and Emmanuel Arbaretier},
url = {https://www.imdr-lambdamu.eu/},
year = {2022},
date = {2022-10-01},
booktitle = {Congrès de maîtrise des risques et de sûreté de fonctionnement},
address = {Paris, France},
abstract = {Cyber-Physical Systems (CPSs) are intensively used in many different kinds of industrial
systems. Whether you are driving a recent car, taking the plane, having a smartphone or smart watch, you interact with CPSs. If we sometimes feel more comfortable or secure with them, these systems are very exposed to cyber-attacks. This is due to their highly interconnected nature and implies that they need to be carefully protected. Thus, one of their main challenges is to ensure their security.
Recent years have seen an increasing concern about the cybersecurity of CPSs and many methods have been developed to answer their challenges.
In this article, we focus on a recent philosophy of doing cybersecurity, inspired by Model
Based System Engineering (MBSE), called Model Based Security (MBS) or Model Driven Security [1]. This specialization of MBSE has been first applied to IT systems and is now a growing research field for CPSs as it helps to automatize cybersecurity assessments that are quickly intractable for engineers working on complex systems.
Despite the growing interest regarding MBS for CPSs, this method is poorly applied in
industry. Most of the works have been made in research labs and have not yet reached industrial application level. Furthermore, these works are relatively diverse and focus on different fields or different aspects of security. This variety is a chance and a problem because there is no consensus in the community on how to apply MBS to CPSs. Indeed, there is no established formal way to define systems (especially the interactions between the physical and cyber layer), threat models, scenarios of
attacks (qualitative analysis), potentiality evaluation (quantitative analysis), deployment phases, etc. [1] [2]. In addition, the abstraction is too high level to describe the complex interactions involved in CPSs or too low level to handle complexity [3].
The major contribution of this work is thus to summarize the actual strengths and weaknesses
of MBS for CPS. To do so, we propose to dig into some recent works and analyze them to understand the needs and missing theoretical background in this field. Then, with a clear overview of the issues about MBS, we will identify some solutions or trigger points that might help to make this type of
approach more attractive and exhaustive.
Finally, it will be possible to introduce an approach allowing MBS for CPS with the concern to cover some challenges of MBS for CPS with a simplistic, yet comprehensive, formalism.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Prevoteau, Hugo; Djebali, Sonia; Laiping, Zhao; Travers, Nicolas
Propagation Measure on Circulation Graphs for Tourism Behavior Analysis Inproceedings
In: Bases de Données Avancées, Clermont-Ferrand, France, 2022.
@inproceedings{prevoteau_1921,
title = {Propagation Measure on Circulation Graphs for Tourism Behavior Analysis},
author = {Hugo Prevoteau and Sonia Djebali and Zhao Laiping and Nicolas Travers},
url = {https://bda2022.sciencesconf.org/resource/page/id/13},
year = {2022},
date = {2022-10-01},
booktitle = {Bases de Données Avancées},
address = {Clermont-Ferrand, France},
abstract = {Social network analysis has widespread in recent years, especially in digital tourism. Indeed the large amount of data that tourists produce during their travels represents an effective source to un- derstand their behavior and is of great importance for tourism stakeholders. This paper studies the propagation effect of tourists on the territory thanks to geotagged circulation graphs.
A new weighted measure is introduced for circulation charac- terization based on both topologies and distances. This measure helps to determine the behavior of tourists on local and global areas. An optimization strategy based on spanning trees is applied to reduce the computation on the whole graph while keeping a good approximation of the behavior.},
keywords = {},
pubstate = {online},
tppubtype = {inproceedings}
}
Harfouche, Antoine; Quinio, Bernard; Saba, Mario; Saba, Peter Bou
In: Information Systems Frontiers, vol. N/A, no. N/A, pp. 1-16, 2022.
@article{harfouche_1996,
title = {The Recursive Theory of Knowledge Augmentation: Integrating human intuition and knowledge in Artificial Intelligence to augment organizational knowledge},
author = {Antoine Harfouche and Bernard Quinio and Mario Saba and Peter Bou Saba},
url = {https://link.springer.com/article/10.1007/s10796-022-10352-8#citeas},
year = {2022},
date = {2022-10-01},
journal = {Information Systems Frontiers},
volume = {N/A},
number = {N/A},
pages = {1-16},
abstract = {Artificial intelligence (AI) has increased the ability of organizations to accumulate tacit and explicit knowledge to inform management decision-making. Despite the hype and popularity of AI, there is a noticeable scarcity of research focusing on AI's potential role in enriching and augmenting organizational knowledge. This paper develops a recursive theory of knowledge augmentation in organizations (the KAM model) based on a synthesis of extant literature and a four-year revised canonical action research project. The project aimed to design and implement a human-centric AI (called Project) to solve the lack of integration of tacit and explicit knowledge in a scientific research center (SRC). To explore the patterns of knowledge augmentation in organizations, this study extends Nonaka's SECI (socialization, externalization, combination, and internali- zation) model by incorporating the human-in-the-loop Informed Artificial Intelligence (IAI) approach. The proposed design offers the possibility to integrate experts' intuition and domain knowledge in AI in an explainable way. The findings show that organizational knowledge can be augmented through a recursive process enabled by the design and implementation of human-in-the-loop IAI. The study has important implications for research and practice.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Nicolae, Madalena; Koelle, Marion; Nittala, Aditya Shekhar; Teyssier, Marc; Steimle, Juergen
Prototyping Soft Devices with Interactive Bioplastics Inproceedings
In: ACM, (Ed.): Proceedings of the 335th Annual ACM Symposium on User Interface Software and Technology, Bend OR USA, 2022, ISBN: 978-1-4503-9320-1.
@inproceedings{nicolae_2050,
title = {Prototyping Soft Devices with Interactive Bioplastics},
author = {Madalena Nicolae and Marion Koelle and Aditya Shekhar Nittala and Marc Teyssier and Juergen Steimle},
editor = {ACM},
url = {https://dl.acm.org/doi/abs/10.1145/3526113.3545623},
issn = {978-1-4503-9320-1},
year = {2022},
date = {2022-10-01},
booktitle = {Proceedings of the 335th Annual ACM Symposium on User Interface Software and Technology},
address = {Bend OR USA},
abstract = {Designers and makers are increasingly interested in leveraging bio-based and bio-degradable ?do-it-yourself' (DIY) materials for sustainable prototyping. Their self-produced bioplastics possess compelling properties such as self-adhesion but have so far not been functionalized to create soft interactive devices, due to a lack of DIY techniques for the fabrication of functional electronic circuits and sensors. In this paper, we contribute a DIY approach for creating Interactive Bioplastics that is accessible to a wide audience, making use of easy-to-obtain bio-based raw materials and familiar tools. We present three types of conductive bioplastic materials and their formulation: sheets, pastes and foams. Our materials enable additive and subtractive fabrication of soft circuits and sensors. Furthermore, we demonstrate how these materials can substitute conventional prototyping materials, be combined with off-the-shelf materials.},
note = {Best Paper and Best Demo},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Ayoub, Oussama; Rodrigues, Christophe; Travers, Nicolas
Un gnrateur d'extension de documents non supervis pour moteurs de recherche Conference
GdR Traitement Automatique de la Langue, CNRS@IRISA Rennes, 2022.
@conference{ayoub_2079,
title = {Un gnrateur d'extension de documents non supervis pour moteurs de recherche},
author = {Oussama Ayoub and Christophe Rodrigues and Nicolas Travers},
url = {https://gdr-tal-rennes.sciencesconf.org/resource/page/id/2},
year = {2022},
date = {2022-10-01},
booktitle = {GdR Traitement Automatique de la Langue},
address = {Rennes},
organization = {CNRS@IRISA},
abstract = {Fournir un moteur de recherche pertinent dans un contexte flexible est une tache complexe du `a lh et erog e-n eit e des donn ees (vocabulaire, taille des documents, qualit e des donn ees), leurs volumes avec des corpuscons equents. Cela pose des probl`emes sur le traitement de texte et de recherche dinformation, aussi biensur lanalyse du contenu que sur la pertinence des r esultats de requetes.},
keywords = {},
pubstate = {accepted},
tppubtype = {conference}
}
Taleb, Ihab; Guérard, Guillaume; Fauberteau, Frédéric; Nguyen, Nga
A Holonic Smart Grid Model for Isolated Areas Conference
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, PhD Forum, Grenoble, France, 2022.
@conference{taleb_1934,
title = {A Holonic Smart Grid Model for Isolated Areas},
author = {Ihab Taleb and Guillaume Guérard and Frédéric Fauberteau and Nga Nguyen},
url = {https://2022.ecmlpkdd.org/index.php/phd-forum/},
year = {2022},
date = {2022-09-01},
booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, PhD Forum},
address = {Grenoble, France},
abstract = {Since the beginning of the $21$st century, smart grid models are gaining more and more importance as they play a major role in the demand side management and the flexible integration of renewable energy sources. Indeed, diverse architectures and models have been proposed for smart grids. In this paper, we propose a model composed of two parts, the first part is to optimize, on a weekly scale, thermal generation, and energy storage while prioritizing renewable energy sources to minimize global costs and global warming effects. The second part consists of, having optimized production and storage, the negotiation between neighboring holons on the same level using evolutionary game theory, combined with simulated annealing and Q-learning approaches to ensure a back and forth between the various levels.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Sokolova, Karina; Kefi, Hajer; Dutot, Vincent
Beyond the shallows of physical attractiveness: Pefection and objectifying gaze on Instagram Journal Article
In: vol. 67, no. December 2, pp. 1025-46, 2022.
@article{sokolova_1893,
title = {Beyond the shallows of physical attractiveness: Pefection and objectifying gaze on Instagram},
author = {Karina Sokolova and Hajer Kefi and Vincent Dutot},
url = {https://www.sciencedirect.com/science/article/pii/S0268401222000809},
year = {2022},
date = {2022-08-01},
volume = {67},
number = {December 2},
pages = {1025-46},
abstract = {Due to the extensive use of highly visual social media platforms such as Instagram, body image exposure has become a common practice. Specifically, the use of idealized women's bodies in different sectors of promotion and on social media has been subject to much criticism. The awareness of the negative outcomes of objectifying content triggered movements towards natural body exposure. However, empirical studies on the perceived effectiveness of this use are still needed. In this article, we compare how idealized versus natural women's bodies are perceived by Instagram users by means of an experimental procedure conducted with 700 users of this platform. We apply the Mann-Whitney U test and PLS-SEM to evaluate how physical attractiveness and idealization are related to the objectifying gazes. Our results suggest that overall publishing potentially objectifying content online is an accepted behavior, especially for more active Instagram users. Besides, both extremes of attractiveness, i.e. idealized beauty and perceived lack of attractiveness are subjected to stronger objectifying, than more natural-looking models. Thus, our paper contributes theoretically and empirically to the research on objectification by extending our knowledge of the factors that drive objectification and its acceptance among social media users. The implications of the emphasis on female bodily appearance on digital presence and the practices of digital influencers are discussed.},
keywords = {},
pubstate = {online},
tppubtype = {article}
}
Pelet, Jean-Éric; Taieb, Basma
Context-aware optimization of mobile commerce website interfaces from the consumers' perspective: Effects on behavioral intentions Journal Article
In: Computers in Human Behavior Reports, vol. 7, 2022.
@article{pelet_2057,
title = {Context-aware optimization of mobile commerce website interfaces from the consumers' perspective: Effects on behavioral intentions},
author = {Jean-Éric Pelet and Basma Taieb},
url = {https://www.sciencedirect.com/science/article/pii/S2451958822000598?via%3Dihub},
year = {2022},
date = {2022-08-01},
journal = {Computers in Human Behavior Reports},
volume = {7},
keywords = {},
pubstate = {online},
tppubtype = {article}
}
Foutse, Yuehgoh; Djebali, Sonia; Travers, Nicolas
A Technology Intelligence Recommendation System based on Multiplex Networks Conference
Groupe de Recherche - Masses de Données, Informations et Connaissances en Sciences (MADICS), CNRS Lyon, France, 2022.
@conference{foutse_1833,
title = {A Technology Intelligence Recommendation System based on Multiplex Networks},
author = {Yuehgoh Foutse and Sonia Djebali and Nicolas Travers},
year = {2022},
date = {2022-07-01},
booktitle = {Groupe de Recherche - Masses de Données, Informations et Connaissances en Sciences (MADICS)},
pages = {2},
address = {Lyon, France},
organization = {CNRS},
abstract = {Mon travail de recherche se focalise sur les systèmes de recommandation pour la veille technologique chez COEXEL, une société fondée par Vincent Boisard, acteur majeur de ce domaine grâce à son outil de gestion électronique de l'information basée sur le web, appelée Mytwip®. Ces données ciblées correspondent à des évolutions technologiques visibles sur le Web pour lesquelles un expert du domaine souhaite rester informé de la concurrence ou des usages.},
keywords = {},
pubstate = {accepted},
tppubtype = {conference}
}
Travers, Nicolas
Panel : Représentation du contenu et extraction de connaissances à partir des textes : les systèmes de gestion de graphes, l'intelligence artificielle et les approches sémantiques Conference
Action DOING - GdR MADICS, CNRS Lyon, France, 2022.
@conference{travers_1834,
title = {Panel : Représentation du contenu et extraction de connaissances à partir des textes : les systèmes de gestion de graphes, l'intelligence artificielle et les approches sémantiques},
author = {Nicolas Travers},
year = {2022},
date = {2022-07-01},
booktitle = {Action DOING - GdR MADICS},
address = {Lyon, France},
organization = {CNRS},
keywords = {},
pubstate = {accepted},
tppubtype = {conference}
}
Guérard, Guillaume; Djebali, Sonia; Gabot, Quentin
Tourists Profiling by Interest Analysis Conference
4ème Symposium du GDR CNRS MaDICS, Lyon, France, 2022.
@conference{guerard_1835,
title = {Tourists Profiling by Interest Analysis},
author = {Guillaume Guérard and Sonia Djebali and Quentin Gabot},
year = {2022},
date = {2022-07-01},
booktitle = {4ème Symposium du GDR CNRS MaDICS},
address = {Lyon, France},
abstract = {I'm a research student in MSc in Computer Science, my research study concern the behaviors of tourists using digital traces they leave during their travels on social medias. The studies conducted on diverse aspects of tourism focus on quantitative aspects of digital traces to reach its conclusions. In my works, I suggest a study focused on both qualitative and quantitative aspect of digital traces to understand the dynamics governing tourist behavior, especially those concerning attractions networks.},
keywords = {},
pubstate = {accepted},
tppubtype = {conference}
}
Djebali, Sonia; Gabot, Quentin; Guérard, Guillaume
Hierarchical Clustering and Measure for Tourism Profiling Inproceedings
In: 6th APWeb-WAIM International Joint Conference on Web and Big Data, Nanjing, China, 2022.
@inproceedings{djebali_1936,
title = {Hierarchical Clustering and Measure for Tourism Profiling},
author = {Sonia Djebali and Quentin Gabot and Guillaume Guérard},
year = {2022},
date = {2022-07-01},
booktitle = {6th APWeb-WAIM International Joint Conference on Web and Big Data},
address = {Nanjing, China},
keywords = {},
pubstate = {accepted},
tppubtype = {inproceedings}
}
Tran, Thi Thanh Huong; Robinson, Kate; Paparoidamis, Nicholas
In: Journal Of Business Research, vol. 144, no. May 2022, pp. 1-16, 2022.
@article{tran_1771,
title = {Sharing with perfect strangers: The effects of self-disclosure on consumers' trust, risk perception, and behavioral intention in the sharing economy},
author = {Thi Thanh Huong Tran and Kate Robinson and Nicholas Paparoidamis},
url = {https://www.sciencedirect.com/science/article/pii/S0148296322000935?dgcid=author},
year = {2022},
date = {2022-05-01},
journal = {Journal Of Business Research},
volume = {144},
number = {May 2022},
pages = {1-16},
abstract = {The transactional and disposable nature of liquid consumption has placed trust as the lifeblood of sharing economy service innovation, enabling billions of strangers across the globe to connect and share in the face of transaction risks. However, managers and service providers may not realize that self-disclosure acts as a basis to build trust and mitigate risk in the sharing economy. In four studies across different nations, we demonstrate that service providers' self-disclosure not only generates consumer trust but also reduces their risk perception, which subsequently encourages legitimate transactions on sharing platforms. The findings reveal that when consumers and service providers are objectively similar, consumers do not pay much attention to service providers' disclosed information. Conversely, in the case of objective dissimilarity, consumers are more attentive to personal and intimate information shared by service providers. Consumer self-esteem plays differential moderating roles in the link between service providers' self-disclosure and consumer responses.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Lefevre, Adrien; Xiao, Xiao; Duhart, Clément
The Interactive Musical Score: An Electronic Score To Hear The Notes From A Paper Score Conference
New Interfaces for Musical Expression, Aotearoa, New Zealand, 2022.
@conference{lefevre_1830,
title = {The Interactive Musical Score: An Electronic Score To Hear The Notes From A Paper Score},
author = {Adrien Lefevre and Xiao Xiao and Clément Duhart},
year = {2022},
date = {2022-05-01},
booktitle = {New Interfaces for Musical Expression},
address = {Aotearoa, New Zealand},
abstract = {The Interactive Score is a novel instrumental device for children's solfege learning. Paper scores are overlaid onto a staff drawn with conductive ink and connected to an Adafruit musical box. Pressing a note in the score triggers its sound, and running fingers over the notes plays a melody.
Learning to read music from the score is an essential part of Western classical music training. Traditionally, children learn the different music notes by singing or playing notes on an instrument, guided by a teacher. We envision a way for children to learn the correspondence between notation and sound by directly touching the score.
The Interactive Score is effortless to use and allows children to make discoveries on their own. The correspondence between the visual, the tactile , and the sound can aid in learning.},
keywords = {},
pubstate = {accepted},
tppubtype = {conference}
}
Djebali, Sonia; Travers, Nicolas; Chareyron, Gaël
Indicateurs de Mesure pour la Mobilité Touristique Conference
Atelier Traces numériques et mobilité @ INFormatique des ORganisations et Systèmes d'Information et de Décision, Dijon, France, 2022.
@conference{djebali_1832,
title = {Indicateurs de Mesure pour la Mobilité Touristique},
author = {Sonia Djebali and Nicolas Travers and Gaël Chareyron},
year = {2022},
date = {2022-05-01},
booktitle = {Atelier Traces numériques et mobilité @ INFormatique des ORganisations et Systèmes d'Information et de Décision},
pages = {4},
address = {Dijon, France},
abstract = {Les traces numériques laissées par les utilisateurs sur les réseaux sociaux sont deve- nues un moyen populaire d'analyse du comportement des touristes dont l'analyse a un impact dans le marketing touristique pour construire des outils d'aide à la décision dans le tourisme. Nous proposons des mesures pour capturer la mobilité et la propagation touristique sur diffé- rentes zones qui s'appuie sur le réseau TripAdvisor et la base de données graphes Neo4j.},
keywords = {},
pubstate = {accepted},
tppubtype = {conference}
}
Pelet, Jean-Éric; Taieb, Basma
LES DETERMINANTS DE L'ADOPTION DU LIVE SHOPPING : L'EXPERTISE DE L'ANIMATEUR ET L'EXPERIENCE DE FLOW Conference
Congrès International de l'AFM, Tunis, Tunisie, 2022.
@conference{pelet_2058,
title = {LES DETERMINANTS DE L'ADOPTION DU LIVE SHOPPING : L'EXPERTISE DE L'ANIMATEUR ET L'EXPERIENCE DE FLOW},
author = {Jean-Éric Pelet and Basma Taieb},
year = {2022},
date = {2022-05-01},
booktitle = {Congrès International de l'AFM},
address = {Tunis, Tunisie},
abstract = {L'article examine dans quelle mesure le live shopping constitue un moyen efficace de vendre sur Internet. Au travers du cadre SOR, il examine comment cibler efficacement les utilisateurs. Une étude exploratoire menée auprès de 27 répondants, conduite suite au replay (direct enregistré) identifie les facteurs tels que le côté pratique et dynamique ainsi que l'aspect rassurant, agréable et confortable d'une session de live shopping. La synchronicité de l'animateur/-trice renforce la perception de flow. L'expérience de l'utilisateur s'en voit accrue, entraînant des intentions de participer et d'acheter supérieures. Une étude confirmatoire en ligne conduite auprès de 51 répondants ayant déjà participé à un live shopping, permet de voir le rôle joué par l'animateur/-trice. L'expérience de flow a une influence positive sur les intentions de participer et d'acheter. Des effets alignés sur les seules références qui existent sur le marché : chinoises. Conclusion, discussion, limites et voies futures de recherche découlent des résultats.},
keywords = {},
pubstate = {accepted},
tppubtype = {conference}
}
Prevoteau, Hugo; Djebali, Sonia; Laiping, Zhao; Travers, Nicolas
Propagation Measure on Circulation Graphs for Tourism Behavior Analysis Inproceedings
In: ACM Symposium on Applied Computing, ACM, Brno, Czec Republic, 2022.
@inproceedings{prevoteau_1749,
title = {Propagation Measure on Circulation Graphs for Tourism Behavior Analysis},
author = {Hugo Prevoteau and Sonia Djebali and Zhao Laiping and Nicolas Travers},
url = {https://www.sigapp.org/sac/sac2022/index.html},
year = {2022},
date = {2022-04-01},
booktitle = {ACM Symposium on Applied Computing},
publisher = {ACM},
address = {Brno, Czec Republic},
abstract = {Social network analysis has widespread in recent years, especially in digital tourism. Indeed the large amount of data that tourists produce during their travels represents an effective source to understand their behavior and is of great importance for tourism stakeholders. This paper studies the propagation effect of tourists on the territory thanks to geotagged circulation graphs. Those graphs reflect traffic flows which need to be analyzed over time and space. A new weighted measure is introduced for circulation characterization based on both topologies and distances. This measure helps to determine the behavior of tourists on local and global areas. An optimization strategy based on spanning trees is applied to reduce the computation on the whole graph while keeping a good approximation of the behavior. The approach is simulated on various graphs and evaluated experimentaly over a real dataset at various geographic zones, scales, communities, and time.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Haikal, Christophe; Alizadeh, Pegah; Rodrigues, Christophe; Chongke, Bi
Place Embedding across Cities in Location-based Social Networks Inproceedings
In: ACM Symposium on Applied Computing, Brno, Czech Republic, 2022.
@inproceedings{haikal_1767,
title = {Place Embedding across Cities in Location-based Social Networks},
author = {Christophe Haikal and Pegah Alizadeh and Christophe Rodrigues and Bi Chongke},
url = {https://www.sigapp.org/sac/sac2022/file2022/TOC-Jan-23-2022.pdf},
year = {2022},
date = {2022-04-01},
booktitle = {ACM Symposium on Applied Computing},
address = {Brno, Czech Republic},
abstract = {In the urban computing field, analysing human mobility patterns are used to understand tourists and residents behaviours, or urban areas functionalities. Transferring the information from one city to another also assists urban strategists in comparing two cities
and applying their knowledge from one to another, such as plan- ning new touristic attractions or implementing some successful urban strategies in new cities. For this goal, in this work, we propose a twofold semi-supervised approach: we first propose a place embedding method based on users mobility trajectories in each city individually, second we learn a place translation function between two cities using the set of reviews written for each place. The translation function is based on measuring textual and semantic
similarities of the reviews. Extensive experiments on two french metropolitan areas (Lille and Bordeaux) based on the extracted data from Trip-Advisor demonstrate the effectiveness of our approach.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Chareyron, Gaël; Jacquot, Sébastien
In: Ascaniis, Silvia De; Cantoni, Lorenzo (Ed.): Handbook on Heritage, Sustainable Tourism and Digital Media, pp. 153-166, Edward Elgar Publishing, 2022, ISBN: 9781788970075.
@incollection{chareyron_1807,
title = {Studying tourism practices at heritage sites through online published content: the case of the World Heritage Site Strasbourg, Grande-Ile and Neustadt},
author = {Gaël Chareyron and Sébastien Jacquot},
editor = {Silvia De Ascaniis and Lorenzo Cantoni},
url = {https://www.elgaronline.com/view/edcoll/9781788970075/9781788970075.00021.xml},
issn = {9781788970075},
year = {2022},
date = {2022-04-01},
booktitle = {Handbook on Heritage, Sustainable Tourism and Digital Media},
pages = {153-166},
publisher = {Edward Elgar Publishing},
abstract = {The development of web 2.0 has transformed the role of tourists in tourism promotion, in relation with the development of user-generated content. This chapter is a methodological contribution to the study of user-generated content on tourist social networks, which represent the point of view of the tourists themselves. It presents methods to study tourism practices at heritage sites by analyzing images from Flickr and reviews published online on TripAdvisor. This analysis of online social networks is a fundamental tool now for the tourist observation of heritage destinations, to understand how the tourists experience and live the destination, and the meanings they give to the visited areas and sites. This requires combining cartographic analysis, statistical analysis and content analysis. We apply these methods to study tourism in Strasbourg, in relation with the extension of the UNESCO perimeter in 2018. The analysis of the geolocalization of Flickr photographs and the content analysis of TripAdvisor reviews enable us question the visibility and tourist coherence of the new perimeter, and to identify the representations attached to its monuments and sites.},
keywords = {},
pubstate = {online},
tppubtype = {incollection}
}
Nicolae, Madalena; Martinez-Missir, Valentin; Teyssier, Marc
The Rise of Organic Soft Robotics : Strategies for Fabrication Conference
ACM CHI 2022 Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 2022.
@conference{nicolae_1812,
title = {The Rise of Organic Soft Robotics : Strategies for Fabrication},
author = {Madalena Nicolae and Valentin Martinez-Missir and Marc Teyssier},
editor = {ACM},
year = {2022},
date = {2022-04-01},
booktitle = {ACM CHI 2022 Conference on Human Factors in Computing Systems},
address = {New Orleans, LA, USA},
edition = {2022},
abstract = {Soft Robotics rapidly emerged as an area of interest in Human-Computer Interaction (HCI). Simple DIY fabrication processes and platforms were re-adapted from traditional digital fabrication tools, resulting in making soft materials-based prototyping accessible to the design and maker community.
There is a growing interest in the use of bio-based and bio-degradable materials in design and prototyping, creating discussions around sustainable design practices as new motor of interdisciplinary exchange. These materials are abundant in Nature, have properties extensively explored in bio-engineering, and are potent in driving sustainability.
However, soft robotics and shape-changing interfaces are not yet developed using these new materials alternatives.
In this context, we highlight potential materials and advocate for their democratized use in soft robotics and HCI. More precisely, we propose an empiric overview of the main challenges in prototyping with bio-based and/or bio-degradable materials, pointing therefore how fabrication processes and tools need to be adjusted once again.},
keywords = {},
pubstate = {accepted},
tppubtype = {conference}
}
Saba, Peter Bou; Aoun, Georges; Wamba, Samuel Fosso
Cutting-edge technologies for the development of Asian countries Miscellaneous
JOURNAL OF ASIA BUSINESS STUDIES, 2022.
@misc{bou_saba_1903,
title = {Cutting-edge technologies for the development of Asian countries},
author = {Peter Bou Saba and Georges Aoun and Samuel Fosso Wamba},
url = {https://www.emerald.com/insight/content/doi/10.1108/JABS-04-2022-494/full/pdf?title=guest-editorial-cutting-edge-technologies-for-the-development-of-asian-countries},
year = {2022},
date = {2022-04-01},
volume = {VOL. 16 NO. 2 2022},
pages = {pp. 225-229},
howpublished = {JOURNAL OF ASIA BUSINESS STUDIES},
note = {Guest Editorial},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Mali, Jihane; Shohreh, Ahvar; Atigui, Faten; Azough, Ahmed; Travers, Nicolas
A Global Model-Driven Denormalization Approach for Schema Migration Inproceedings
In: International Conference on Research Challenges in Information Science, Springer, Barcelona, Spain, 2022.
@inproceedings{mali_1804,
title = {A Global Model-Driven Denormalization Approach for Schema Migration},
author = {Jihane Mali and Ahvar Shohreh and Faten Atigui and Ahmed Azough and Nicolas Travers},
year = {2022},
date = {2022-03-01},
booktitle = {International Conference on Research Challenges in Information Science},
publisher = {Springer},
address = {Barcelona, Spain},
abstract = {Abstract. With data's evolution in terms of volume, variety, and ve- locity, Information Systems (IS) administrators have to steadily adapt their data model and choose the best solution(s) to store and manage data in accordance with users' requirements. In this context, many exist- ing solutions transform a source data model into a target one, but none of them leads the administrator to choose the most suitable model by offering a limited solution space automatically calculated and adapted to his needs. We propose ModelDrivenGuide, an automatic global approach for leading the model transformation process. It starts by transforming the conceptual model into a logical model, and it defines refinement rules that help to generate all possible data models. Our approach then relies on a heuristic to reduce the search space by avoiding cycles and redun- dancies. We also propose a formalisation of the denormalization process and we discuss the completeness and the complexity of our approach.},
keywords = {},
pubstate = {accepted},
tppubtype = {inproceedings}
}
Brahem, Emna; Depoers, Florence; Lakhal, Faten
Corporate social responsibility and earnings quality in family firms Journal Article
In: Journal of Applied Accounting Research, 2022.
@article{brahem_1823,
title = {Corporate social responsibility and earnings quality in family firms},
author = {Emna Brahem and Florence Depoers and Faten Lakhal},
url = {https://doi.org/10.1108/JAAR-05-2021-0139},
year = {2022},
date = {2022-03-01},
journal = {Journal of Applied Accounting Research},
abstract = {The purpose of this paper is to investigate the relationship between corporate social responsibility and earnings quality, specifically in family firms.
Design/methodology/approach
Based on a sample of French-listed firms from the period 2005 to 2016, the authors use the instrumental variable approach based on a two-stage least-squares (2SLS) estimator.
Findings
The results show that Corporate Social Responsibility (CSR) performance is positively associated with the relevance and faithful representation of earnings. This means that companies that commit to CSR activities are more likely to provide high earnings quality. The results also show that the positive association between CSR performance and earnings quality is more prevalent in family firms suggesting that socially responsible family firms are willing to preserve their socio-emotional wealth by disclosing high quality earnings.
Research limitations/implications
The results suggest that French firms commit to CSR to satisfy the interests of their stakeholders by disclosing high-quality information supporting the conflict resolution view of CSR. The findings also support the socio-emotional wealth perspective and suggest that family firms that engage in CSR activities provide a rich informational environment through high earnings quality.
Practical implications
This study's findings can be thus useful to investors for their portfolio management decisions by enabling them to identify the profile of companies with high earnings quality. These results may also help standard-setters and capital-market regulators improve market transparency by introducing new requirements to encourage investing in CSR.
Originality/value
This study extends the research on the relationship between CSR and earnings quality by focusing on two fundamental characteristics including relevance and faithful representation. This paper focuses on the effect of CSR on earnings quality in the specific context of family firms. This study offers then a better understanding of whether socially responsible family firms communicate stronger or weaker earnings quality than non-family firms based on the agency and socio-emotional wealth perspectives.},
keywords = {},
pubstate = {online},
tppubtype = {article}
}
Talbi, Adam; Viens, Arthur; Leroux, Louis-Clément; François, Morgane; Caillol, Mathias; Nguyen, Nga
Feature Importance And Deep Learning For Android Malware Detection Inproceedings
In: International Conference on Information Systems Security and Privacy, Vienna, Austria, 2022.
@inproceedings{talbi_1741,
title = {Feature Importance And Deep Learning For Android Malware Detection},
author = {Adam Talbi and Arthur Viens and Louis-Clément Leroux and Morgane François and Mathias Caillol and Nga Nguyen},
url = {https://icissp.scitevents.org/Home.aspx},
year = {2022},
date = {2022-02-01},
booktitle = {International Conference on Information Systems Security and Privacy},
address = {Vienna, Austria},
abstract = {Effective and efficient malware detection is key in today's world to prevent systems from being compromised, to protect personal user data, and to tackle other security issues. In this paper, we worked on Android malware detection by using static analysis features and deep learning methods to separate benign applications from malicious ones. Custom feature vectors are extracted from the Drebin and the AndroZoo dataset and different data science methods of feature importance are used to improve the results of Deep Neural Network classification.
Experimental results on the Drebin dataset were significant with 99.31% accuracy in malware detection. We extended our work on more recent applications with a complete pipeline for the AndroZoo dataset, with about 40,000 APKs used from 2014 to 2021 pre-tagged as reported malicious or not. The pipeline includes static features extracted from the manifest file and bytecode such as suspicious behaviors, restricted and suspicious API calls, etc. The accuracy result for AndroZoo is 97.7%, confirming the power of deep learning on Android malware detection.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Bobbia, Benjamin
Donsker's Theorem for local Data-Driven Empirical Measure Conference
Séminaire du laboratoire Modal X, Nanterre, France, 2022.
@conference{bobbia_1773,
title = {Donsker's Theorem for local Data-Driven Empirical Measure},
author = {Benjamin Bobbia},
year = {2022},
date = {2022-02-01},
booktitle = {Séminaire du laboratoire Modal X},
address = {Nanterre, France},
abstract = {Nowadays, empirical processes are well known objects. A reason that push forward theirs studies is that, in many models, we can write the estimators as images of empirical measures. In this work we investigate the case of local empirical measures built over a sub-sample with data conditioned to be in a certain area. There exists numerous results about such question, but what can we say if the area of interest is data driven ? In the present work we present a general framework which allows to derive asymptotic results for this particular empirical measures (with "low" cost in terms of technicality and assumptions). Then, we use this approach in the framework of extreme values theory deriving tail and quantile estimations.},
keywords = {},
pubstate = {accepted},
tppubtype = {conference}
}
Zhu, Tiange; Fournier-S'niehotta, Raphaël; Rigaux, Philippe; Travers, Nicolas
A Framework for Content-Based Search in Large Music Collections Journal Article
In: Big Data and Cognitive Computing, vol. 6, no. 1, pp. 23, 2022.
@article{zhu_1776,
title = {A Framework for Content-Based Search in Large Music Collections},
author = {Tiange Zhu and Raphaël Fournier-S'niehotta and Philippe Rigaux and Nicolas Travers},
url = {https://www.mdpi.com/2504-2289/6/1/23},
year = {2022},
date = {2022-02-01},
journal = {Big Data and Cognitive Computing},
volume = {6},
number = {1},
pages = {23},
abstract = {We address the problem of scalable content-based search in large collections of music documents. Music content is highly complex and versatile and presents multiple facets that can be considered independently or in combination. Moreover, music documents can be digitally encoded in many ways. We propose a general framework for building a scalable search engine, based on (i) a music description language that represents music content independently from a specific encoding, (ii) an extendible list of feature-extraction functions, and (iii) indexing, searching, and ranking procedures designed to be integrated into the standard architecture of a text-oriented search engine. As a proof of concept, we also detail an actual implementation of the framework for searching in large collections of XML-encoded music scores, based on the popular ElasticSearch system. It is released as open-source in GitHub, and available as a ready-to-use Docker image for communities that manage large collections of digitized music documents},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Osmani, Aomar; Hamidi, Massinissa; Alizadeh, Pegah
Clustering Approach to Solve Hierarchical Classification Problem Complexity Inproceedings
In: AAAI Conferece on Artificial Intelligence, Vancouver, Canada, 2022, ISBN: will be completed later.
@inproceedings{osmani_1768,
title = {Clustering Approach to Solve Hierarchical Classification Problem Complexity},
author = {Aomar Osmani and Massinissa Hamidi and Pegah Alizadeh},
url = {The proceeding is not ready yet.
Even the list of accepted papers is not published yet. I will modify this part as soon as I have them.},
issn = {will be completed later},
year = {2022},
date = {2022-01-01},
booktitle = {AAAI Conferece on Artificial Intelligence},
address = {Vancouver, Canada},
abstract = {In a large domain of classification problems for real applications, like human activity recognition, separable spaces between groups of concepts are easier to learn than each concept alone. This is because the search space biases required to separate groups of classes (or concepts) are more relevant than the ones needed to separate classes individually. For example, it is easier to learn the activities related to the body
movements group (running, walking) versus ?on-wheels? activities group (bicycling, driving a car), before learning more specific classes inside each of these groups. Despite the ob-
vious interest of this approach, our theoretical analysis shows a high complexity for finding an exact solution. We propose in this paper an original approach based on the association of clustering and classification approaches to overcome this limitation. We propose a better approach to learn the concepts by grouping classes recursively rather than learning them class by class. We introduce an effective greedy algorithm and two theoretical measures (namely cohesion and dispersion) to evaluate the connection between the clusters and the classes. Extensive experiments on the SHL dataset show that our approach improves classification performances while reducing the number of instances used to learn each concept.},
keywords = {},
pubstate = {accepted},
tppubtype = {inproceedings}
}
Guérard, Guillaume; Djebali, Sonia; Gabot, Quentin
Tourists Profiling by Interest Analysis Inproceedings
In: International Conference on Advanced Data Mining and Applications, pp. 42-53, Springer, Cham, Virtual, 2022, ISBN: 978-3-030-95407-9.
@inproceedings{guerard_1662,
title = {Tourists Profiling by Interest Analysis},
author = {Guillaume Guérard and Sonia Djebali and Quentin Gabot},
url = {https://link.springer.com/chapter/10.1007/978-3-030-95408-6_4},
issn = {978-3-030-95407-9},
year = {2022},
date = {2022-01-01},
booktitle = {International Conference on Advanced Data Mining and Applications},
volume = {13088},
pages = {42-53},
publisher = {Springer, Cham},
address = {Virtual},
abstract = {With the recent digital revolution, analyzing of tourists' behaviors
and research elds associated with it have changed profoundly.
It is now easier to examine behaviors of tourists using digital traces they
leave during their travels. The studies conducted on diverse aspects of
tourism focus on quantitative aspects of digital traces to reach its conclusions.
In this paper, we suggest a study focused on both qualitative and
quantitative aspect of digital traces to understand the dynamics governing
tourist behavior, especially those concerning attractions networks.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Grossetti, Quentin; Mouza, Cédric Du; Travers, Nicolas; Constantin, Camélia
Reducing the filter bubble effect on Twitter by considering communities for recommendations Journal Article
In: International Journal of Web Information Systems, vol. 17, no. 6, pp. 728?752, 2021.
@article{grossetti_1663,
title = {Reducing the filter bubble effect on Twitter by considering communities for recommendations},
author = {Quentin Grossetti and Cédric Du Mouza and Nicolas Travers and Camélia Constantin},
url = {https://www.emerald.com/insight/content/doi/10.1108/IJWIS-06-2021-0065/full/html},
year = {2021},
date = {2021-12-01},
journal = {International Journal of Web Information Systems},
volume = {17},
number = {6},
pages = {728?752},
abstract = {Purpose
Social network platforms are considered today as a major communication mean. Their success leads to an unprecedented growth of user-generated content; therefore, finding interesting content for a given user has become a major issue. Recommender systems allow these platforms to personalize individual experience and increase user engagement by filtering messages according to user interest and/or neighborhood. Recent research results show, however, that this content personalization might increase the echo chamber effect and create filter bubbles that restrain the diversity of opinions regarding the recommended content.
Design/methodology/approach
The purpose of this paper is to present a thorough study of communities on a large Twitter data set that quantifies the effect of recommender systems on users' behavior by creating filter bubbles. The authors further propose their community-aware model (CAM) that counters the impact of different recommender systems on information consumption.
Findings
The authors propose their CAM that counters the impact of different recommender systems on information consumption. The study results show that filter bubbles effects concern up to 10% of users and the proposed model based on the similarities between communities enhance recommendations.
Originality/value
The authors proposed the CAM approach, which relies on similarities between communities to re-rank lists of recommendations to weaken the filter bubble effect for these users.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Ruiz, Diana Davila; Vazquez, Erik Ernesto
Examining Effects of Photography in Social Media and the Mediation Role of Perceived Authenticity Journal Article
In: Communication Today, vol. 12, no. 2, pp. 112-128, 2021.
@article{davila_ruiz_1731,
title = {Examining Effects of Photography in Social Media and the Mediation Role of Perceived Authenticity},
author = {Diana Davila Ruiz and Erik Ernesto Vazquez},
url = {https://communicationtoday.sk/examining-effects-of-photography-in-social-media-and-the-mediation-role-of-perceived-authenticity/},
year = {2021},
date = {2021-12-01},
journal = {Communication Today},
volume = {12},
number = {2},
pages = {112-128},
abstract = {Social media have gained traction in advertising campaigns for luxury and fashion apparel using influencers, who shape trends of photography. To remain competitive, however, influencers depend on how they convey authenticity, which largely relies on the key visual elements of the photographs they post on social media. The purpose of this study is to explore the visual elements of the photography used by social media influencers and to compare the main photography trends in digital media. Specifically, it aims to explore how new photography trends such as urban background style and fashion models with large body sizes affect consumers. To accomplish this objective, an online experimental setting was prepared to compare the effects of an urban versus a solid background and a fashion model with a large versus a thin body size on perceived authenticity and purchase intent. The research finds that urban background and large body size of the model significantly increase digital engagement. These results are in line with the research hypotheses that allude to the perception of authenticity as the key construct behind the effects on digital engagement. This inquiry also evaluates the interaction effect of the urban background and large body size of the model on perceived authenticity. In doing so, the present research examines the mediation role of perceived authenticity on the intention to buy. The results contribute to updating theory about the influencers' role on digital engagement and photography trends in social media. It also shows that perceived authenticity exerts a mediating role between the effect of visual elements on purchase intentions},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Pignot, Edouard
La « jouissance cynique », un moteur de l'activité des VTC Miscellaneous
The Conversation, 2021.
@misc{pignot_1747,
title = {La « jouissance cynique », un moteur de l'activité des VTC},
author = {Edouard Pignot},
url = {https://theconversation.com/la-jouissance-cynique-un-moteur-de-lactivite-des-vtc-173442},
year = {2021},
date = {2021-12-01},
howpublished = {The Conversation},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Chareyron, Gaël; Cousin, Saskia; Jacquot, Sébastien
Crise du tourisme et résistances des vacances. Valeurs et pratiques des mobilités de loisirs en période de pandémie Journal Article
In: Mondes du Tourisme, vol. 20, 2021.
@article{chareyron_1748,
title = {Crise du tourisme et résistances des vacances. Valeurs et pratiques des mobilités de loisirs en période de pandémie},
author = {Gaël Chareyron and Saskia Cousin and Sébastien Jacquot},
url = {https://journals.openedition.org/tourisme/3899#tocto2n5},
year = {2021},
date = {2021-12-01},
journal = {Mondes du Tourisme},
volume = {20},
abstract = {Selon l'Organisation mondiale du tourisme (OMT), la pandémie a réduit de 70 % le tourisme international en 2020. Dans les médias, l'arrêt des mobilités internationales se traduit par un discours sur « la fin du tourisme » ou la « mort du voyage ». À l'été 2020, la plupart des territoires français connaissent pourtant une saison estivale aussi, voire plus fréquentée que les années précédentes. Comment expliquer ce décalage ? En s'appuyant sur l'analyse critique des indicateurs statistiques du tourisme, des observations de terrain et l'étude des commentaires postés sur les plateformes de réservation touristiques, cet article propose l'hypothèse suivante : la pandémie révélé la fragilité de l'industrie internationale du tourisme, mais aussi son emprise sur les normes, les valeurs et les imaginaires de l'ailleurs et du temps « autre ». Échappant à l'industrie du tourisme et à ses indicateurs, les pratiques de vacances populaires ont résisté plus qu'elles ne se sont radicalement transformées. Surtout, elles sont devenues visibles et valorisées. Dans ce contexte, la notion de valence différentielle nous permet d'appréhender l'actuelle inversion des valeurs associées respectivement au tourisme international et aux vacances populaires.},
keywords = {},
pubstate = {online},
tppubtype = {article}
}
Pignot, Edouard
Who is pulling the strings in the platform economy? Accounting for the dark and unexpected sides of algorithmic control Journal Article
In: Organization, 2021.
@article{pignot_1750,
title = {Who is pulling the strings in the platform economy? Accounting for the dark and unexpected sides of algorithmic control},
author = {Edouard Pignot},
url = {https://journals.sagepub.com/doi/10.1177/1350508420974523#},
year = {2021},
date = {2021-12-01},
journal = {Organization},
abstract = {This paper aims to address the dark side perspective on digital control and surveillance by emphasizing the affective grip of ideological control, namely the process that silently ensures the subjugation of digital labour, and which keeps the ?unexpectedness' of algorithmic practices at bay: that is, the propensity of users to contest digital prescriptions. In particular, the theoretical contribution of this paper is to combine Labour Process with psychoanalytically-informed, post-structuralist theory, in order to connect to, and further our understanding of, how and why digital workers assent to, or oppose, the interpellations of algorithmic ideology at work. To illustrate the operation of affective control in the Platform Economy, the emblematic example of ride-hailing platforms, such as Uber, and their algorithmic management, is revisited. Thus, the empirical section describes the way drivers are glued to the algorithm (e.g. for one more fare, or for the next surge pricing) in a way that prevents them, although not always, from considering genuine resistance to management. Finally, the paper discusses the central place of ideological fantasy and cynical enjoyment in the Platform Economy, as well as the ethical implications of the study.},
keywords = {},
pubstate = {online},
tppubtype = {article}
}
amel Hidouri,; Jabbour, Said; Dlala, Imen Ouled; Raddaoui, Badran
On Minimal and Maximal High Utility Itemsets Mining using Propositional Satisfiability Inproceedings
In: IEEE International Conference on Big Data, Orlando, FL, USA, 2021, ISBN: 978-1-6654-4599-3.
@inproceedings{hidouri_1766,
title = {On Minimal and Maximal High Utility Itemsets Mining using Propositional Satisfiability},
author = {amel Hidouri and Said Jabbour and Imen Ouled Dlala and Badran Raddaoui},
url = {https://doi.org/10.1109/BigData52589.2021.9671422},
issn = {978-1-6654-4599-3},
year = {2021},
date = {2021-12-01},
booktitle = {IEEE International Conference on Big Data},
address = {Orlando, FL, USA},
abstract = {Mining high utility itemsets is a keystone data mining method for discovering useful itemsets yielding high utility values. Minimal and maximal high utility itemsets are
two examples of compact representations used to reduce the
output size due to not only the large but incomprehensible
number of patterns. Despite the variety of proposed solutions to
tackle this problem, it still provides methods with less flexibility.
In this paper, we present a novel method for translating the
problem of mining minimal and maximal high utility itemsets
into a propositional satisfiability problem. In order to find these
patterns of interest, we demonstrate that the task of minimal and maximal patterns is equivalent to enumerating the X-
minimal models of a given CNF formula. Then, to improve the
scalability issue, we harness a decomposition paradigm that splits
the transaction database into smaller and independent sub-bases, allowing an efficient enumeration of minimal and maximal high
utility itemsets. Finally, through extensive evaluation studies on
various real-world datasets, we demonstrate that our approach is
very competitive w.r.t. to the state-of-the-art specialized solutions.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Pelet, Jean-Éric; Taieb, Basma
The internet of things in upscalehotels: its impact on guests'sensory experiences and behavior Journal Article
In: International Journal Of Contemporary Hospitality Management, vol. 33, no. 11, pp. 4035-4056, 2021.
@article{pelet_1561,
title = {The internet of things in upscalehotels: its impact on guests'sensory experiences and behavior},
author = {Jean-Éric Pelet and Basma Taieb},
url = {https://www.emerald.com/insight/content/doi/10.1108/IJCHM-02-2021-0226/full/html},
year = {2021},
date = {2021-11-01},
journal = {International Journal Of Contemporary Hospitality Management},
volume = {33},
number = {11},
pages = {4035-4056},
abstract = {Purpose-This study bridges the gap between sensory marketing and the use of the internet of things (IoT)in upscale hotels. This paper aims to investigate how stimulating guests'senses through IoT devices influenced their emotions, affective experiences, eudaimonism (well-being), and ultimately, guest behavior.The authors examined the potential moderating effects of gender.
Design/methodology/approach-Research conducted comprised an exploratory study, which consisted of interviews with hotel managers (Study 1) and an online confirmatory survey (n= 357) amonghotel guests (Study 2).
Findings-The results showed that while the senses of smell, hearing and sight had an impact on guests'emotions, the senses of touch, hearing and sight impacted guests'affective experiences. The senses of smelland taste influenced guests'eudaimonism. The sense of smell had a greater effect on eudaimonism andbehavioral intentions among women compared to men.
Research limitations/implications-This study concentrated on upscale hotels located in Europe. Further research may explore the generalizability of thefindings (e.g. in other cultures, comparison betweenhigh-end and low-end hotels).
Practical implications-Managers of upscale hotels should apply congruent sensory stimuli from allfive senses. Stimuli may be customized (?SoCoIoT?marketing). IoT in hotels may be useful in the aftermath ofthe COVID pandemic, as voice commands help guests avoid touching surfaces.
Originality/value-IoT can be applied in creating customized multi-sensory hotel experiences. Forexample, hotels may offer unique and diverse ambiances in their rooms and suites to improve guestexperiences.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Bobbia, Benjamin
Donsker's Theorem for local data-driven empirical measures Conference
Forum Jeunes Mathématiciens, Besançon, france, 2021.
@conference{bobbia_1772,
title = {Donsker's Theorem for local data-driven empirical measures},
author = {Benjamin Bobbia},
year = {2021},
date = {2021-11-01},
booktitle = {Forum Jeunes Mathématiciens},
address = {Besançon, france},
abstract = {Nowadays, empirical processes are well known object. A reason that push forward theirs studies is that, in many modelisations, we can write the estimators as images of empirical measures. In this work we investigate the case of local empirical measures, that is the empirical measure built over a subsample with data conditionned to be in a certain area. There exist numerous results about such result, but what can we say if the previous area is data driven ? We can handle this situation with high technical cost and additional assumptions. The main aim of the present work is to present a general framework which allows to derive asymptotic results for this particular empirical measures with lower cost (in terms of technicality and assumptions). We give a Donsker-type theorem for such measures and present some domains of application as extreme values theory or multivariate regular variations},
keywords = {},
pubstate = {accepted},
tppubtype = {conference}
}
Pelet, Jean-Éric; Taieb, Basma; Lick, Erhard
Le marketing sensoriel et les objets connectés, nouveaux atouts des hôteliers Miscellaneous
The Conversation, 2021.
@misc{pelet_1725,
title = {Le marketing sensoriel et les objets connectés, nouveaux atouts des hôteliers},
author = {Jean-Éric Pelet and Basma Taieb and Erhard Lick},
url = {https://theconversation.com/le-marketing-sensoriel-et-les-objets-connectes-nouveaux-atouts-des-hoteliers-166986},
year = {2021},
date = {2021-10-01},
howpublished = {The Conversation},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Saba, Peter Bou
Le traquenard de la comparaison sociale numérique Miscellaneous
Forbes France, 2021.
@misc{bou_saba_1778,
title = {Le traquenard de la comparaison sociale numérique},
author = {Peter Bou Saba},
url = {https://www.forbes.fr/management/a-completer-photo-le-traquenard-de-la-comparaison-sociale-numerique/},
year = {2021},
date = {2021-10-01},
howpublished = {Forbes France},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Alizadeh, Pegah; Traversi, Emiliano; Osmani, Aomar
Deterministic policies based on maximum regrets in MDPs with imprecise rewards Journal Article
In: Ai Communications, 2021.
@article{alizadeh_1653,
title = {Deterministic policies based on maximum regrets in MDPs with imprecise rewards},
author = {Pegah Alizadeh and Emiliano Traversi and Aomar Osmani},
url = {https://content.iospress.com/articles/ai-communications/aic190632},
year = {2021},
date = {2021-09-01},
journal = {Ai Communications},
abstract = {Markov Decision Process Models (MDPs) are a powerful tool for planning tasks and sequential decision-making issues. In this work we deal with MDPs with imprecise rewards, often used when dealing with situations where the data is uncertain. In this context, we provide algorithms for finding the policy that minimizes the maximum regret. To the best of our knowledge, all the regret-based methods proposed in the literature focus on providing an optimal stochastic policy. We introduce for the first time a method to calculate an optimal deterministic policy using optimization approaches. Deterministic policies are easily interpretable for users because for a given state they provide a unique choice. To better motivate the use of an exact procedure for finding a deterministic policy, we show some (theoretical and experimental) cases where the intuitive idea of using a deterministic policy obtained after ?determinizing? the optimal stochastic policy leads to a policy far from the exact deterministic policy.},
keywords = {},
pubstate = {online},
tppubtype = {article}
}
Nguyen, Nga
RobAFIS: Lessons Learned from a Robotic Systems Engineering Challenge Inproceedings
In: 2021 International Symposium on Systems Engineering Proceedings, Vienna, Austria, 2021.
@inproceedings{nguyen_1596,
title = {RobAFIS: Lessons Learned from a Robotic Systems Engineering Challenge},
author = {Nga Nguyen},
url = {https://2021.ieeeisse.org/wp-content/uploads/sites/37/2021/08/ISSE_2021_Program-02.pdf},
year = {2021},
date = {2021-09-01},
booktitle = {2021 International Symposium on Systems Engineering Proceedings},
address = {Vienna, Austria},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Mili, Saoussen; Nguyen, Nga; Chelouah, Rachid
Model-Driven Architecture Based Security Analysis Journal Article
In: Systems Engineering, vol. 24, no. 5, pp. 307-321, 2021.
@article{mili_1606,
title = {Model-Driven Architecture Based Security Analysis},
author = {Saoussen Mili and Nga Nguyen and Rachid Chelouah},
url = {https://onlinelibrary.wiley.com/doi/10.1002/sys.21581},
year = {2021},
date = {2021-09-01},
journal = {Systems Engineering},
volume = {24},
number = {5},
pages = {307-321},
abstract = {This paper proposes a Model-Driven Architecture approach for the development of an embedded system validation platform namely Model-Based Security Analysis for Embedded Systems (MBSAES). The security properties are formally modeled and verified at an early stage of the design process of the system, which helps to reduce late errors and development time. A separation of the attack scenarios and the system design from the implementation details has been respected. To transform semi-formal models from SysML to NuSVM model checking platform, two Model-to-Text, horizontal and exogenous transformations have been implemented. The first one employs a programming approach with Java to create a Computational Tree Logic specification from an Extended Attack Tree, whereas the second one uses a template approach with Acceleo to generate NuSMV code from SysML structural and behavioral models. To illustrate our approach, a case study, involving attacks aiming to unlock car door systems, via signal jamming and code replaying, is considered. The results of this research will contribute to the automatic validation of system designs against security vulnerabilities via a database of extended attack trees building from existing atomic attacks.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Dwivedi, Yogesh K.; Ismagilova, Elvira; Laurie, Hughes D.; Carlson, Jamie; Filieri, Raffaele; Jacobson, Jenna; Jain, Varsha; Karjaluoto, Heikki; Kefi, Hajer; Krishen, Anjala S.; Kumar, Vikram; Rahman, Mohammad M.; Raman, Ramakrishnan; Rauschnabel, Philipp A.; Rowley, Jennifer; Salo, Jari; Tran, Gina A.; Yichuan, Wang
Setting the future of digital and social media marketing research: Perspectives and research propositions Journal Article
In: International Journal Of Information Management, vol. 59, pp. 102168, 2021.
@article{dwivedi_1427,
title = {Setting the future of digital and social media marketing research: Perspectives and research propositions},
author = {Yogesh K. Dwivedi and Elvira Ismagilova and Hughes D. Laurie and Jamie Carlson and Raffaele Filieri and Jenna Jacobson and Varsha Jain and Heikki Karjaluoto and Hajer Kefi and Anjala S. Krishen and Vikram Kumar and Mohammad M. Rahman and Ramakrishnan Raman and Philipp A. Rauschnabel and Jennifer Rowley and Jari Salo and Gina A. Tran and Wang Yichuan},
url = {https://www.sciencedirect.com/science/article/pii/S0268401220308082},
year = {2021},
date = {2021-08-01},
journal = {International Journal Of Information Management},
volume = {59},
pages = {102168},
abstract = {The use of the internet and social media have changed consumer behavior and the ways in which companies conduct their business. Social and digital marketing offers significant opportunities to organizations through lower costs, improved brand awareness and increased sales. However, significant challenges exist from negative electronic word-of-mouth as well as intrusive and irritating online brand presence. This article brings together the collective insight from several leading experts on issues relating to digital and social media marketing. The experts' perspectives offer a detailed narrative on key aspects of this important topic as well as perspectives on more specific issues including artificial intelligence, augmented reality marketing, digital content management, mobile marketing and advertising, B2B marketing, electronic word of mouth and ethical issues therein. This research offers a significant and timely contribution to both researchers and practitioners in the form of challenges and opportunities where we highlight the limitations within the current research, outline the research gaps and develop the questions and propositions that can help advance knowledge within the domain of digital and social marketing.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Tran, Thi Thanh Huong; Paparoidamis, Nicholas; den Broeke, Maud Van
LINKING FLEXIBILITY AND FIRM PERFORMANCE: THE MEDIATING ROLE OF INNOVATION CAPABILITIES Inproceedings
In: JPIM Research Forum 2021, Maryland, USA, 2021.
@inproceedings{tran_1562,
title = {LINKING FLEXIBILITY AND FIRM PERFORMANCE: THE MEDIATING ROLE OF INNOVATION CAPABILITIES},
author = {Thi Thanh Huong Tran and Nicholas Paparoidamis and Maud Van den Broeke},
url = {https://www.pdma.org/page/conference-central},
year = {2021},
date = {2021-07-01},
booktitle = {JPIM Research Forum 2021},
address = {Maryland, USA},
abstract = {Flexibility is widely recognized as a valuable competitive tool for firms in today's dynamic and uncertain environment; however, existing research on its impact on firm performance reports mixed and contradictory results, which has prevented scholarly and practical advancement on the topic. Drawing on the resource-based view with a dynamic capability perspective, we develop a conceptual model to investigate the underlying mechanism of the impact of different flexibility dimensions on firm performance. Based on a sample of 200 companies operating in France, we provide empirical evidence that both exploratory and exploitative innovation play a significant and full mediating role in the link between volume and mix flexibility and firm performance whereas only exploratory innovation fully mediates the effect of new product flexibility on firm performance. Our findings contribute to existing theoretical knowledge and offer important managerial implications as well as fruitful future research avenues.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
