Fatima Ezzahra Boubakri; Mohammed Kadri; Fatima Zahra Kaghat; Ahmed Azough
Virtual Reality Classrooms vs. Video Conferencing Platforms: Initial Design and Evaluation Study for Collaborative Distance Learning Journal Article
In: Multimedia Tools And Applications, 2024.
@article{boubakri_3013,
title = {Virtual Reality Classrooms vs. Video Conferencing Platforms: Initial Design and Evaluation Study for Collaborative Distance Learning},
author = {Fatima Ezzahra Boubakri and Mohammed Kadri and Fatima Zahra Kaghat and Ahmed Azough},
url = {https://link.springer.com/article/10.1007/s11042-024-19309-2},
year = {2024},
date = {2024-05-01},
journal = {Multimedia Tools And Applications},
abstract = {In recent years, remote work and communication via videoconferencing tools have become increasingly prevalent across various sectors, including education, where students and teachers use these platforms to attend virtual classes. Although videoconferencing offers advantages such as convenience and flexibility, it also has limitations. For instance, remote group work and practical activities may pose challenges, and students may experience decreased motivation to learn due to a lack of social interaction and support provided in traditional classrooms. To address these limitations, this study proposes ?V-Class,? an immersive multi-user virtual reality learning system that combines distance learning with traditional learning by immersing students in a virtual classroom and facilitating collaboration and hands-on activities. This study evaluates the effectiveness of our system ?V-Class? using both subjective and objective measurements to examine variables like presence, performance, collaboration, and engagement. It is compared to Zoom, a popular videoconferencing tool, with 50 participants. V-Class outperformed Zoom in all dimensions, indicating its potential as a superior solution for enhancing distance learning over videoconferencing tools.},
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Hamza Khalloufi; Mohamed Zaifri; Abdessamad Benlahbib; Fatima Zahra Kaghat; Ahmed Azough
Evaluating the Accuracy of Cloud-based 3D Human Pose Estimation Tools: A Case Study of MOTiO by RADiCAL Journal Article
In: International Journal of Advanced Computer Science and Applications (IJACSA), vol. 15, no. 4, pp. 43-54, 2024.
@article{khalloufi_2958,
title = {Evaluating the Accuracy of Cloud-based 3D Human Pose Estimation Tools: A Case Study of MOTiO by RADiCAL},
author = {Hamza Khalloufi and Mohamed Zaifri and Abdessamad Benlahbib and Fatima Zahra Kaghat and Ahmed Azough},
url = {https://thesai.org/Downloads/Volume15No4/Paper_6-Evaluating_the_Accuracy_of_Cloud_based_3D_Human_Pose.pdf},
year = {2024},
date = {2024-04-01},
journal = {International Journal of Advanced Computer Science and Applications (IJACSA)},
volume = {15},
number = {4},
pages = {43-54},
abstract = {The use of 3D Human Pose Estimation (HPE) has become increasingly popular in the field of computer vision due to its various applications in human-computer interaction, animation, surveillance, virtual reality, video interpretation, and gesture recognition. However, traditional sensor-based motion capture systems are limited by their high cost and the need for multiple cameras and physical markers. To address these limitations, cloud-based HPE tools, such as DeepMotion and MOTiON by RADiCAL, have been developed. This study presents the first scientific evaluation of MOTiON by RADiCAL, a cloud-based 3D HPE tool based on deep learning and cloud computing. The evaluation was conducted using the CMU dataset, which was filtered and cleaned for this purpose. The results were compared to the ground truth using two metrics, the Mean per Joint Error (MPJPE) and the Percentage of Correct Keypoints (PCK). The results showed an accuracy of 98 mm MPJPE and 96% PCK for most scenarios and genders. This study suggests that cloud-based HPE tools such as MOTiON by RADiCAL can be a suitable alternative to traditional sensorbased motion capture systems for simple scenarios with slow movements and little occlusion.},
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Mohammed Kadri; Fatima Ezzahra Boubakri; Fatima Zahra Kaghat; Ahmed Azough; Khalid Alaoui Zidani
In: Entertainment Computing, vol. 49, no. March 2024, pp. 100624, 2024.
@article{kadri_2548,
title = {IVAL: Immersive Virtual Anatomy Laboratory for enhancing medical education based on virtual reality and serious games, design, implementation, and evaluation},
author = {Mohammed Kadri and Fatima Ezzahra Boubakri and Fatima Zahra Kaghat and Ahmed Azough and Khalid Alaoui Zidani},
url = {https://www.sciencedirect.com/science/article/pii/S1875952123000794?via%3Dihub},
year = {2024},
date = {2024-03-01},
journal = {Entertainment Computing},
volume = {49},
number = {March 2024},
pages = {100624},
abstract = {Learning anatomy is a complex subject that requires a thorough understanding of 3D structures, posing challenges with traditional teaching methods. Anatomy education often involves the use of cadavers, which can be expensive, time-consuming, and ethically complex. As a result, medical educators need effective ways to engage students and promote learning. Immersive virtual reality (IVR) and serious games (SGs) provide innovative and immersive learning experiences that enhance students' understanding and retention of anatomical concepts and improve the effectiveness of anatomy education. This work aims to develop and evaluate the effectiveness of IVAL,11Immersive Virtual Anatomy Laboratory. an Immersive Virtual Anatomy Laboratory, for immersive and engaging learning experiences. A study involving dozens of University students assessed the efficacy of this innovative tool, resulting in high levels of satisfaction, success, and learning outcomes. IVAL was found to be an effective tool in promoting learning and retention of anatomical concepts, with participants highly rating the tool regarding engagement and learning enhancement. This study demonstrates that immersion in a 3D representation of the skeletal system through VR is essential for a deep knowledge of anatomical learning. These results have important implications for medical educators because IVR technologies can enhance student learning and improve the effectiveness of medical education.},
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Hamza Khalloufi; Mohamed Zaifri; Mohammed Kadri; Abdessamad Benlahbib; Fatima Zahra Kaghat; Ahmed Azough
El-FnaVR: An Immersive Virtual Reality Representation of Jemaa El-Fna in Marrakech for Intangible Cultural Heritage Experiences Journal Article
In: Ieee Access, vol. 12, no. 2024, pp. 9331-9349, 2023.
@article{khalloufi_2549,
title = {El-FnaVR: An Immersive Virtual Reality Representation of Jemaa El-Fna in Marrakech for Intangible Cultural Heritage Experiences},
author = {Hamza Khalloufi and Mohamed Zaifri and Mohammed Kadri and Abdessamad Benlahbib and Fatima Zahra Kaghat and Ahmed Azough},
url = {https://ieeexplore.ieee.org/document/10373850?source=authoralert},
year = {2023},
date = {2023-12-01},
journal = {Ieee Access},
volume = {12},
number = {2024},
pages = {9331-9349},
abstract = {Intangible cultural heritage, a vital part of our collective human legacy, faces the threat of being lost in the tide of modernization. Preserving and promoting these cultural treasures require innovative approaches that transcend traditional boundaries. In this paper, we introduce "El-FnaVR", a groundbreaking virtual reality (VR) application that captures the vibrant essence of Marrakech's renowned UNESCO-listed Jemaa El-Fna square, Morocco. El-FnaVR immerses users in a detailed virtual replica of the square, replete with lifelike animated characters and spatial 3D audio that reproduces the locale's unique atmosphere faithfully capturing the location's distinctive ambiance. This paper delves into the comprehensive five-stage design and development process of the application, highlighting its unique features and demonstrating how it replicates the diverse activities and performances at the square. A user study, conducted with participants, reveals overwhelmingly positive responses, as participants laud the application's immersive nature, ease of use, and social appeal. The study's findings indicate that El-FnaVR successfully evokes the sensation of being present at the Jemaa El-Fna square, and offers valuable insights into the events and traditions that define it. As a significant step towards the preservation and promotion of intangible cultural heritage.},
keywords = {},
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}
Mohamed Zaifri; Hamza Khalloufi; Fatima Zahra Kaghat; Abdessamad Benlahbib; Ahmed Azough; Khalid Alaoui Zidani
Enhancing Tourist Experiences in Crowded Destinations through Mobile Augmented Reality: A Comparative Field Study Journal Article
In: International Journal of Interactive Mobile Technologies, vol. 17, no. 20, pp. 92-113, 2023.
@article{zaifri_2475,
title = {Enhancing Tourist Experiences in Crowded Destinations through Mobile Augmented Reality: A Comparative Field Study},
author = {Mohamed Zaifri and Hamza Khalloufi and Fatima Zahra Kaghat and Abdessamad Benlahbib and Ahmed Azough and Khalid Alaoui Zidani},
url = {https://online-journals.org/index.php/i-jim/article/view/42273},
year = {2023},
date = {2023-11-01},
journal = {International Journal of Interactive Mobile Technologies},
volume = {17},
number = {20},
pages = {92-113},
abstract = {Mobile augmented reality (MAR) has gained significant attention in the tourism sector as a way to enhance the visitor experience. The rapid advancements in mobile computing and sensor technologies have facilitated the widespread use of geospatial augmented reality (AR) applications by tourists when exploring popular destinations. To analyze the impact of AR technology on the tourism experience, we developed the FEZAR mobile application. This application serves as the focal point of our study, allowing us to evaluate user performance using a comparative experimental approach. To ensure the usability of the FEZAR application, professionals with expertise in mobile technologies, including AR, performed rigorous testing and evaluation of the application. Through their evaluations, significant usability issues were identified and resolved, resulting in the application being well-received by the experts. Subsequently, a comparative field study was conducted in Fez's old medina, a crowded UNESCO heritage site, involving users (N = 40) who were randomly assigned to experimental and control groups in equal distribution. The results of the study revealed that the proposed AR model had a significant positive impact on user visits. Compared to other forms of media, AR offers more informative and enjoyable experiences. Additionally, it effectively helps locate monuments in crowded tourism settings. The findings of this research make a valuable contribution to the ongoing discussion regarding the impact of evaluating MAR user interfaces on increasing visitor engagement with tourist destinations.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Mohamed Zaifri; Hamza Khalloufi; Fatima Zahra Kaghat; Ahmed Azough; Khalid Alaoui Zidani
From Earlier Exploration to Advanced Applications: Bibliometric and Systematic Review of Augmented Reality in the Tourism Industry (2002-2022) Journal Article
In: Multimodal Technologies and Interaction, vol. 7, no. 7, pp. 64, 2023.
@article{zaifri_2354,
title = {From Earlier Exploration to Advanced Applications: Bibliometric and Systematic Review of Augmented Reality in the Tourism Industry (2002-2022)},
author = {Mohamed Zaifri and Hamza Khalloufi and Fatima Zahra Kaghat and Ahmed Azough and Khalid Alaoui Zidani},
url = {https://www.mdpi.com/2414-4088/7/7/64},
year = {2023},
date = {2023-06-01},
journal = {Multimodal Technologies and Interaction},
volume = {7},
number = {7},
pages = {64},
abstract = {Augmented reality has emerged as a transformative technology, with the potential to revolutionize the tourism industry. Nonetheless, there is a scarcity of studies tracing the progression of AR and its application in tourism, from early exploration to recent advancements. This study aims to provide a comprehensive overview of the evolution, contexts, and design elements of AR in tourism over the period (2002-2022), offering insights for further progress in this domain. Employing a dual-method approach, a bibliometric analysis was conducted on 861 articles collected from the Scopus and Web of Science databases, to investigate the evolution of AR research over time and across countries, and to identify the main contexts of the utilization of AR in tourism. In the second part of our study, a systematic content analysis was conducted, focusing on a subset of 57 selected studies that specifically employed AR systems in various tourism situations. Through this analysis, the most commonly utilized AR design components, such as tracking systems, AR devices, tourism settings, and virtual content were summarized. Furthermore, we explored how these components were integrated to enhance the overall tourism experience. The findings reveal a growing trend in research production, led by Europe and Asia. Key contexts of AR applications in tourism encompass cultural heritage, mobile AR, and smart tourism, with emerging topics such as artificial intelligence (AI), big data, and COVID-19. Frequently used AR design components comprise mobile devices, marker-less tracking systems, outdoor environments, and visual overlays. Future research could involve optimizing AR experiences for users with disabilities, supporting multicultural experiences, integrating AI with big data, fostering sustainability, and remote virtual tourism. This study contributes to the ongoing discourse on the role of AR in shaping the future of tourism in the post COVID-19 era, by providing valuable insights for researchers, practitioners, and policymakers in the tourism industry.},
note = {- CiteScore 2022 : 4.3,
- SJR 2022 : 0.504,
- SNIP 2022 : 1.163
- Q2 (computer science applications)},
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Pierre Lefebvre; Ahmed Azough; Nicolas Travers; Driss Yakoubi
GdR Madics, Troyes, France, 2023.
@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},
url = {https://www.dataia.eu/evenements/5eme-symposium-gdr-madics},
year = {2023},
date = {2023-05-01},
booktitle = {GdR Madics},
address = {Troyes, France},
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 = {published},
tppubtype = {conference}
}
Jihane Mali; Faten Atigui; Ahmed Azough; Nicolas Travers; Ahvar Shohreh
A Multidimensional Cost Model for Distributed Denormalized NoSQL Schemas Proceedings Article
In: 39ème Conférence sur la Gestion de Données - Principes, Technologies et Applications, montpellier, France, 2023.
@inproceedings{mali_2441,
title = {A Multidimensional Cost Model for Distributed Denormalized NoSQL Schemas},
author = {Jihane Mali and Faten Atigui and Ahmed Azough and Nicolas Travers and Ahvar Shohreh},
url = {https://bda2023.sciencesconf.org/resource/page/id/11},
year = {2023},
date = {2023-10-01},
booktitle = {39ème Conférence sur la Gestion de Données - Principes, Technologies et Applications},
address = {montpellier, France},
abstract = {The complexity of database systems has increased significantly along with the continuous growth of data, forcing Information Systems (IS) administrators to constantly adapt their data models and carefully choose the best option(s) for storing and managing data. In this context, we propose an automatic global approach for leading data model's transformation process. This approach starts with the generation of all possible solutions. It then relies on a cost model that helps to compare these generated data models to finally choose the best one for the given use case. This cost model integrates both data model and queries cost. It also takes into consideration the environmental impact of a data model as well as its financial and its time cost. This work presents for the first time a multidimensional cost model encompassing time, environmental and financial constraints, which compares data models leading to the choice of the best one for a given use case and context. In addition, a simulation tool for data model's transformation and cost computation has been developed based on our approach.},
keywords = {},
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tppubtype = {inproceedings}
}
Jihane Mali; Ahvar Shohreh; Faten Atigui; Ahmed Azough; Nicolas Travers
A Global Model-Driven Denormalization Approach for Schema Migration Proceedings Article
In: International Conference on Research Challenges in Information Science, pp. 529-545, 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},
url = {https://link.springer.com/chapter/10.1007/978-3-031-05760-1_31},
year = {2022},
date = {2022-05-01},
booktitle = {International Conference on Research Challenges in Information Science},
volume = {446},
pages = {529-545},
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.},
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Jihane Mali; Faten Atigui; Ahmed Azough; Nicolas Travers
How to Implement NoSQL Schemas with ModelDrivenGuide? Proceedings Article
In: 36ème conférence sur la Gestion de données, virtual, 2020.
@inproceedings{mali_1381,
title = {How to Implement NoSQL Schemas with ModelDrivenGuide?},
author = {Jihane Mali and Faten Atigui and Ahmed Azough and Nicolas Travers},
url = {https://bda.lip6.fr/programme/},
year = {2020},
date = {2020-10-01},
booktitle = {36ème conférence sur la Gestion de données},
address = {virtual},
abstract = {With the evolution of data in terms of volume, variety and velocity, designing and developing an Information Systems (IS) requires studying the best solutions to store and manipulate data while respecting the user's requirements. In this demonstration, we show how to implement an IS using the ModelDrivenGuide, which is a semi-automated approach based on transformation rules starting from a conceptual model, then going from one logical model to an other by re?nement to finally the chosen physical model.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Jihane Mali; Faten Atigui; Ahmed Azough; Nicolas Travers
ModelDrivenGuide: An Approach for Implementing NoSQL Schemas Proceedings Article
In: The 31st International Conference on Database and Expert Systems Applications DEXA 2020, Bratislava, Slovakia, 2020.
@inproceedings{mali_1274,
title = {ModelDrivenGuide: An Approach for Implementing NoSQL Schemas},
author = {Jihane Mali and Faten Atigui and Ahmed Azough and Nicolas Travers},
url = {https://www.dexa.org/previous/dexa2020/dexa2020.html},
year = {2020},
date = {2020-09-01},
booktitle = {The 31st International Conference on Database and Expert Systems Applications DEXA 2020},
address = {Bratislava, Slovakia},
keywords = {},
pubstate = {published},
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Ahmed Azough
Web immersif : et si nous ressentions Internet ? Miscellaneous
The Conversation, 2023.
@misc{azough_2355,
title = {Web immersif : et si nous ressentions Internet ?},
author = {Ahmed Azough},
url = {https://theconversation.com/web-immersif-et-si-nous-ressentions-internet-206648},
year = {2023},
date = {2023-06-01},
howpublished = {The Conversation},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
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