Digital Group

@conference{pignot_2144,

title = {Anti-work as affective commons: dogmatism, confidence, scepticism, and terror},

author = {Edouard Pignot and Thomas Lennerfors},

url = {https://www.egos.org/jart/prj3/egos/main.jart?rel=de&reserve-mode=active&content-id=1658501434997&subtheme_id=1637466415495},

year  = {2023},

date = {2023-07-01},

booktitle = {38th EGOS colloquium},

address = {Cagliari, Italy},

abstract = {While the ideas of contemporary French philosopher Alain Badiou have been largely influential on literature, art humanities, political sciences, government laws, cultural studies, and even education, geography and religion studies - including noticeable exegeses in the Anglo-Saxon world from Slavoj ?i?ek, Simon Critchley and Ed Pluth - their use in organization studies remains, perhaps startingly, marginal. Further, existing Badiouian organizational studies focus mainly on Being and Event but much less on his two other major opuses: Theory of the subject and Logics of World. The novelty of Badiou is to consider subjects at the interaction between language and psycho-sexual, traumatic experiences, which remain impossible to symbolize and thereby constitute political events. The notion of evental change does not bring about a new world on its own, but it requires a series of acts in a context, a form of faithfulness to the event - a performance which this paper further investigates. 

Going beyond the current use of Badiou in organization studies, we propose a Badiouan theoretical framework to address organizational subjects' performativity, in terms of subjectivation (anxiety, courage) and subject-process (superego, justice), whose articulation gives rise to four various modes of affective acting (terror, skepticism, dogmatism and confidence). A framework comprising these modes of affective acting is aimed to support subjectivities intended to drive change in society, and to avoid those subjectivities favouring the status quo. Therefore, Badiou's approach is highly relevant for the cultivation of subjectivities promoting alternative goods, rather than focusing on critique and resistance.

To illustrate the relevance of this framework empirically, we offer a Badiouian interpretation of antiwork politics, a left-wing social movement which is either mocked or coopted by corporatism - and loses its radicality. As subjectivity is progressively manipulated and colonized by management, the novel application of Badiou's framework to the anti-work problem enables to revive the political and ethical dimension of work psychodynamics that is lost through individualistic and intra-psychic focus.},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

@conference{pierre_2306,

title = {Vid2Graph : un framework pour l'extraction de connaissances et l'analyse sémantique des flux de vidéosurveillance de systèmes distribués},

author = {Lefebvre Pierre and Ahmed Azough and Nicolas Travers and Driss Yakoubi},

year  = {2023},

date = {2023-04-01},

booktitle = {GdR Madics},

address = {Troyes},

abstract = {La vidéosurveillance s'est considérablement développée ces dernières années. Les sources sont de plus en plus nombreuses, en mouvement ou avec des qualités variables : on parle de système distribué. L'analyse des données produites par de tels systèmes est devenue un enjeu majeur. En effet, si la détection des objets et des actions capturés par une caméra individuelle est aujourd'hui accessible à travers les modèles d'apprentissage automatique ou de reconnaissance de forme, la modélisation et la détection automatique d'évènements longue durée et faisant intervenir un réseau de caméras de surveillance restent un défi. 

Ainsi, comment permettre la détection d'évènements complexes dans un réseau de caméras de surveillance hétérogènes et distribuées ?

Afin de répondre à cette problématique, nous proposons un framework pour l'extraction et l'enrichissement de caractéristiques à partir de caméras de vidéosurveillance. Il repose sur 1) un pipeline de modèles de Deep Learning pour l'extraction de caractéristiques de vidéos (extraction d'images-clés, détections d'objets / segmentation d'instances, extraction d'attributs, détection de relations spatiales, réidentification), 2) un module de génération d'un graphe de connaissances, 3) un module d'enrichissement du graphe pour améliorer la qualité des détections, et 4) un module d'analyse pour la détection d'événements complexes sur le graph. Son architecture modulaire permet d'interchanger les étapes d'extraction de caractéristiques provenant des vidéos. Le poster détaillera le framework proposé et illustrera le processus de création du graphe à partir de vidéos provenant du benchmark  Smart-City CCTV Violence Detection Dataset (SCVD).

L'intérêt de l'approche est de pouvoir, à terme, se focaliser sur la sémantique des vidéos comme l'isolation de segments vidéo ou d'actions (filtres/projections sur le graph), la détection d'événements ou activités au moyen d'algorithmes de Graph Mining / GNN.},

keywords = {},

pubstate = {accepted},

tppubtype = {conference}

}

@conference{lefebvre_2306,

title = {Vid2Graph : un framework pour l'extraction de connaissances et l'analyse sémantique des flux de vidéosurveillance de systèmes distribués},

author = {Pierre Lefebvre and Ahmed Azough and Nicolas Travers and Driss Yakoubi},

year  = {2023},

date = {2023-04-01},

booktitle = {GdR Madics},

address = {Troyes},

abstract = {La vidéosurveillance s'est considérablement développée ces dernières années. Les sources sont de plus en plus nombreuses, en mouvement ou avec des qualités variables : on parle de système distribué. L'analyse des données produites par de tels systèmes est devenue un enjeu majeur. En effet, si la détection des objets et des actions capturés par une caméra individuelle est aujourd'hui accessible à travers les modèles d'apprentissage automatique ou de reconnaissance de forme, la modélisation et la détection automatique d'évènements longue durée et faisant intervenir un réseau de caméras de surveillance restent un défi. 

Ainsi, comment permettre la détection d'évènements complexes dans un réseau de caméras de surveillance hétérogènes et distribuées ?

Afin de répondre à cette problématique, nous proposons un framework pour l'extraction et l'enrichissement de caractéristiques à partir de caméras de vidéosurveillance. Il repose sur 1) un pipeline de modèles de Deep Learning pour l'extraction de caractéristiques de vidéos (extraction d'images-clés, détections d'objets / segmentation d'instances, extraction d'attributs, détection de relations spatiales, réidentification), 2) un module de génération d'un graphe de connaissances, 3) un module d'enrichissement du graphe pour améliorer la qualité des détections, et 4) un module d'analyse pour la détection d'événements complexes sur le graph. Son architecture modulaire permet d'interchanger les étapes d'extraction de caractéristiques provenant des vidéos. Le poster détaillera le framework proposé et illustrera le processus de création du graphe à partir de vidéos provenant du benchmark  Smart-City CCTV Violence Detection Dataset (SCVD).

L'intérêt de l'approche est de pouvoir, à terme, se focaliser sur la sémantique des vidéos comme l'isolation de segments vidéo ou d'actions (filtres/projections sur le graph), la détection d'événements ou activités au moyen d'algorithmes de Graph Mining / GNN.},

keywords = {},

pubstate = {accepted},

tppubtype = {conference}

}

@conference{benjira_2308,

title = {Data lake and metadata repositories to develop city sustainability indicators using open Big Data. Applied to sports practices},

author = {Wissal Benjira and Faten Atigui and Malika Grim-Yefsah and Benedicte Bucher and Nicolas Travers},

year  = {2023},

date = {2023-04-01},

booktitle = {GdR Madics},

address = {Troyes},

abstract = {La disponibilité croissante des données est une opportunité pour mieux observer et comprendre le monde réel. Produire des indicateurs mesurant les Objectifs de Developpement Durable (ODD) est un enjeux sociétal majeur, nécessitant des sources hétérogènes, pour comparer des situations dans l'espace et dans le temps. Par exemple, l'ODD11.7 s'intéresse à l'accès pour tous aux espaces publics sûrs, tels que les espaces verts, les espaces pour les pratiques sportives. Notre travail se focalise particulièrement sur l'étude de l'impact des méga-événements sportifs (ex. JO2024) sur la pratique sportive dans la ville durable et l'impact de l'organisation de méga-événements sur ces villes. L'organisation de ces événements sportifs revêt donc de multiples enjeux managériaux pour les territoires d'accueil. Selon Chappelet, les méga-événements ont le pouvoir [...] d'impacter suffisamment le territoire pour que ce dernier puisse en bénéficier durablement. Ils laissent un "héritage" sur leur passage que Preuss définit comme étant « tous les résultats qui affectent les personnes et/ou l'espace » sur la durée.



 



L'étude de l'impact des évènements sportifs nécessite l'exploitation de données massives connues par leur volume, variété et vélocité. Il est également indispensable de pouvoir les croiser. Seulement, il apparaît que le potentiel de ces données n'est pas entièrement exploité dû à l'absence de cadre unificateur. De ce fait, notre sujet a pour objectif de comprendre comment les données peuvent servir à mesurer l'héritage d'un méga-événement. Pour obtenir une évaluation de cet héritage, nous proposons une approche reposant sur un Framework simplifié qui facilite l'identification, le traitement ainsi que l'interprétation du croisement des données. Le lac sémantique obtenu est représenté et structuré sous forme de base de données graph facilitant le rapprochement des données avec 1) un schéma de graph de données unifié, 2) des règles d'enrichissement du graph, 3) des opérations sur le graph pour produire des mesures et leur composition pour définir les indicateurs.



 



Nous présenterons notre approche en nous reposant sur deux cas d'étude plus précis :



- La comparaison des parcours sportifs en ville, à vélo ou à pied, avant et après un mégaévènement à l'aide d'open data



- La comparaison des parcours sportifs en ville, à vélo ou à pied, entre deux villes en se fondant sur des données produites par différentes administrations et participants et pourvues de biais différents.},

keywords = {},

pubstate = {accepted},

tppubtype = {conference}

}

@conference{travers_2309,

title = {Where is the Truth? From Factoids to Maximum A-Posteriori Inference on Knowledge Graphs},

author = {Nicolas Travers and Victor David and Raphaël Fournier-S'niehotta},

url = {https://conferences.dvrc.fr/eHealth-ethics23/schedule.php},

year  = {2023},

date = {2023-04-01},

booktitle = {eHealth & ethics},

address = {Paris La Défense},

organization = {Pôle Léonard de Vinci},

abstract = {Reasoning on uncertain and complex data to infer the most probable outcome is a crucial task in finding the

truth in complex sets of contradictory factoids (potential facts), such as confronting a hypothesis of disease

over a set of symptoms for a population. Excelling at this task involves examining logical links between

factoids, surfacing the conflicts among facts, and filtering them out to reach a consistent state called goal

recognition.

Knowledge graphs (KGs) are a key tool for modelling actions, represented as facts with a (subject,

predicate, object) triplet. Several approaches have been developed to reason on KGs, and one of them,

Markov Logic Networks [Chekol et al., 2016, Rinc ?e et al., 2018], propose probabilistic reasoning in a unified

formalism supporting uncertainty, which is key for goal recognition. However, only few MLN-based KG

reasoning frameworks handle both uncertainty and temporal data [Chekol et al., 2017], and none can handle

a fully uncertain universe where any fact or rule may be uncertain.

For goal recognition, reasoning under uncertainty and inconsistency is at the basis of methodology: the

validity of the knowledge of any hypothesis remains questionable. Temporal information is also crucial:

outside of a temporal interval, a fact becomes false. By using time intervals in knowledge, it is possible

to refine the reasoning on medical hypothesis during a sequence of events. Once all hypotheses has been

modelled, the goal recognition is to predict the most likely consistent hypothesis among all factoids/symptoms

from a population. In [Ha et al., 2011, Lester et al., 2013, Baikadi et al., 2014, Ha et al., 2014] the authors

propose MLN-based learning approaches and in [Min et al., 2014, Min et al., 2016] deep Learning approaches

to enhance goal recognition. However, those representations hardly handle a fully uncertain universe (facts

and rules). Moreover, they are not explainable, one cannot trace back the facts that leads to a given

conclusion (goal).},

keywords = {},

pubstate = {online},

tppubtype = {conference}

}

@conference{guerard_2244,

title = {Pretopology-based Clustering for Mixed Data},

author = {Guillaume Guérard and Soufian Ben Amor and Maxence Choufa and Sonia Djebali and Clement Cornet and Loup-Noé Levy and Hai Tran},

url = {https://roadef2023.sciencesconf.org/436878/document},

year  = {2023},

date = {2023-02-01},

booktitle = {ROADEF 2023},

address = {Rennes , France},

abstract = {The energy performance of buildings represents a major issue of the 21st century. Many

solutions have been discussed to improve buildings' energy performance [1, 4], but the actions

to take differ from one building to another. In other words, current solutions are built on

a case-by-case basis and cannot be extrapolated easily. Indeed, it is difficult to find generic

solutions due to their complexity and heterogeneity.

By placing buildings in groups and subgroups, one can define relevant energy optimization

recommendations without auditing each building individually. Because initial labels are not

always defined, clustering is relevant in our case. Since we seek for intrinsic similarities between

groups and subgroups, hierarchical clustering is needed. Buildings are described with mixed

data. They include numerical data such as surface or number of floors, and categorical data like

types of heating or insulation materials. Few clustering algorithms exist for mixed data, and

even fewer are hierarchical. In this article, we present a method for the hierarchical clustering

of mixed data based on pretopology.},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

@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}

}

@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}

}

@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 = {published},

tppubtype = {conference}

}

@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}

}

@conference{ayoub_2079,

title = {Un générateur d'extension de documents non supervisé 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}

}

@conference{pignot_2145,

title = {Serious game design as control practice},

author = {Edouard Pignot},

url = {https://www.essec.edu/en/news/management-control-practice-workshop-temporal-perspectives/},

year  = {2022},

date = {2022-10-01},

booktitle = {Control-as-Practice workshop},

address = {Paris, France},

organization = {ESSEC Business School},

abstract = {While the workplace literature has discussed playfulness as the nature of work as well as the designing of work, there is only limited research that focuses on how designers identify and disidentify with games over time. A Lacanian enquiry into the self-identification of serious game designers may prove particularly worthwhile, as designers first need to cope with their own fantasmatic attachment if they are to develop serious games that seduce others. A brief case study investigates this issue through the ethnographic observation of how lack, identification and fantasy are all dynamically intertwined in the context of the development of a serious medical game aimed at the elderly. The findings describe the process through which designers confront their gamified scenario, and how they overcome the resulting tension. The discussion reveals the traumatic origin of their playful fantasy, namely the affective underside of suffering and conflict. However, ethical designers resist, and eventually undo, gamification through ambivalent acting and ?crossing? the fantasy. Finally, the conclusion presents broader implications for serious game design and future avenues for empirical research in the Lacanian tradition.},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

@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}

}

@conference{foutse_1833,

title = {A Technology Intelligence Recommendation System based on Multiplex Networks},

author = {Yuehgoh Foutse and Sonia Djebali and Nicolas Travers},

url = {https://www.madics.fr/event/symposium-madics-4/},

year  = {2022},

date = {2022-07-01},

booktitle = {MaDICS 2022},

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 = {published},

tppubtype = {conference}

}

@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},

url = {https://www.madics.fr/event/symposium-madics-4/},

year  = {2022},

date = {2022-07-01},

booktitle = {MaDICS 2022},

address = {Lyon, France},

organization = {CNRS},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

@conference{guerard_1835,

title = {Tourists Profiling by Interest Analysis},

author = {Guillaume Guérard and Sonia Djebali and Quentin Gabot},

url = {https://www.madics.fr/event/symposium-madics-4/},

year  = {2022},

date = {2022-07-01},

booktitle = {MaDICS 2022},

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 = {published},

tppubtype = {conference}

}

@conference{gabot_2245,

title = {Tourists profiling by interest analysis},

author = {Quantin Gabot and Guillaume Guérard and Sonia Djebali},

url = {https://www.madics.fr/},

year  = {2022},

date = {2022-07-01},

booktitle = {Groupe de Recherche : Masses de Données, Informations et Connaissances en Sciences (MADICS)},

address = {Lyon, France},

organization = {CNRS},

abstract = {With the recent digital revolution, analyzing of tourists' behaviorsand research fields 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 andquantitative aspect of digital traces to understand the dynamics governing tourist behavior, especially those concerning attractions networks.},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

@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},

url = {https://nime2022.org/program.html},

year  = {2022},

date = {2022-06-01},

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 = {published},

tppubtype = {conference}

}

@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},

url = {https://programs.sigchi.org/chi/2022},

year  = {2022},

date = {2022-05-01},

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 = {published},

tppubtype = {conference}

}

@conference{djebali_1832,

title = {Indicateurs de Mesure pour la Mobilité Touristique},

author = {Sonia Djebali and Nicolas Travers and Gaël Chareyron},

url = {https://inforsid2022.sciencesconf.org/},

year  = {2022},

date = {2022-05-01},

booktitle = {40ème Congrès INFORSID 2022},

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 = {published},

tppubtype = {conference}

}

@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}

}

@conference{pelet_2059,

title = {Atténuer les impacts environnementaux de la chaîne d'approvisionnement du vin grâce aux vélos cargos},

author = {Jean-Éric Pelet and Basma Taieb},

url = {https://aim2022.sciencesconf.org/data/pages/Programme_livret_conference_AIM_2022_Final.pdf},

year  = {2022},

date = {2022-05-01},

booktitle = {Association Information et Management - 27ème édition},

address = {Carry-le-Rouet},

keywords = {},

pubstate = {online},

tppubtype = {conference}

}