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27. Weaving the Web(VTT) of Data.

Author

Thomas Steiner, Hannes Mühleisen, Ruben Verborgh, Pierre-Antoine Champin, Benoît Encelle, and Yannick Prié

Published
2014

29. A User-Centered Approach to Design a Mobile Application for Chronic Pain Management

Author

Karim Sehaba, Benoît Encelle, Yingdong Liu, Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2), Situated Interaction, Collaboration, Adaptation and Learning (SICAL), and Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon)

Subjects
medicine.medical_specialty, 010405 organic chemistry, business.industry, [SHS.INFO]Humanities and Social Sciences/Library and information sciences, Chronic pain, General Chemistry, medicine.disease, 01 natural sciences, 0104 chemical sciences, Computer Science Applications, Physical medicine and rehabilitation, Modeling and Simulation, medicine, business, Sciences de l'Homme et Société/Sciences de l'information et de la communication, General Environmental Science
Abstract

This paper presents a user-centered approach for the design/re-design of a mobile application for chronic pain management, with a focus on chronic low back pain, sometimes referred to as "invisible disability". Within the framework of a multidisciplinary project involving physicians, patients and computer scientists, the work presented here describes firstly an identification and representation process of the needs/expectations of the users of such an application (patients/physicians), based on a data-driven persona development method and, secondly, an evaluation process of the user experience (UX) of the current version of the application, using among others usability tests. The aim of the approach is to establish (re-)design guidelines in order to improve this kind of application.

Published
2020

30. A Multidimensional Data Acquisition as a Preliminary Step to the Secondary Prevention of the Loss of Autonomy for Patients with Traumatic Injury and Stroke: An AMISIA Pilot Study

Author

Ioannis Kanellos, Benoît Encelle, Marinette Bouet, Stéphane Buffat, Michel Schneider, Damien Ricard, Stéphane Mandigout, Anaick Perrochon, Nasser Rezzoug, Laure Fernandez, Institut des Sciences du Mouvement Etienne Jules Marey (ISM), Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), Handicap, Activité, Vieillissement, Autonomie, Environnement (HAVAE), Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST), Université de Limoges (UNILIM)-Université de Limoges (UNILIM), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Université de Toulon - UFR Sciences et Techniques (UTLN UFR ScT), Université de Toulon (UTLN), Situated Interaction, Collaboration, Adaptation and Learning (SICAL), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT), Département Informatique (IMT Atlantique - INFO), IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Centre Neurosciences intégratives et Cognition (INCC - UMR 8002), Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes (LIMOS), Ecole Nationale Supérieure des Mines de St Etienne (ENSM ST-ETIENNE)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Laboratoire Psychologie de la Perception (LPP - UMR 8242), Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Ecole Nationale Supérieure des Mines de St Etienne-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2), IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), and Ecole Nationale Supérieure des Mines de St Etienne-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])

Subjects
medicine.medical_specialty, [SDV]Life Sciences [q-bio], 0206 medical engineering, Biomedical Engineering, Biophysics, Activity incentive, 02 engineering and technology, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Physical medicine and rehabilitation, Traumatic brain injury, Health care, medicine, Memory span, [SDV.MHEP.PHY]Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO], Multidimensional data collection, Effects of sleep deprivation on cognitive performance, ComputingMilieux_MISCELLANEOUS, Data collection, [SDV.NEU.PC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior, Family caregivers, business.industry, Secondary prevention, 020601 biomedical engineering, Gait, 3. Good health, Test (assessment), Stroke, Anxiety, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], medicine.symptom, business, Psychology
Abstract

International audience; Background: The aim of our study was to conduct an ad hoc data collection in healthy adults with the intention of extracting individual profiles to study the ability to effectively monitor one's health by extracting relevant indicators. As “each patient is a unique case”, AMISIA (Defi CNRS AUTON project) proposes an integrated approach, combining medical health devices, information technology, and human factors to provide patients, health care actors and family caregivers with both the best incentives and a high degree of monitoring.Method: We conducted a data collection experiment in Limoges with 61 participants at the Limoges University. Data were biographic elements, socio-economic profiles, cognitive performance (Corsi test results), a psychological battery (anxiety, fatigue, sleep), posture and gait measurement with 4 Imus and a Wii-balance board, and finally physical activity during a week at home (Armband sensors).Results: For the Corsi virtual walking test, the median memory span for Group A was significantly less (p

Published
2020

31. Towards fine-grained reading dashboards for online course revision

Author

Benoît Encelle, Madjid Sadallah, Yannick Prié, Azze-Eddine Maredj, Centre de recherche sur l'Information Scientifique et Technique (CERIST), Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.), Situated Interaction, Collaboration, Adaptation and Learning (SICAL), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Université Lumière - Lyon 2 (UL2), Data User Knowledge (DUKe), Laboratoire des Sciences du Numérique de Nantes (LS2N), IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), and Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS)

Subjects
050101 languages & linguistics, Computer science, media_common.quotation_subject, Dashboard (business), Learning analytics, computer.software_genre, Education, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Online course, Reading (process), ComputingMilieux_COMPUTERSANDEDUCATION, Curriculum development, 0501 psychology and cognitive sciences, [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], Set (psychology), ComputingMilieux_MISCELLANEOUS, media_common, Multimedia, 4. Education, 05 social sciences, Educational technology, 050301 education, Course evaluation, [INFO.EIAH]Computer Science [cs]/Technology for Human Learning, 0503 education, computer
Abstract

Providing high-quality courses is of utmost importance to drive successful learning. This compels course authors to continuously review their contents to meet learners’ needs. However, it is challenging for them to detect the reading barriers that learners face with content, and to identify how their courses can be improved accordingly. In this paper, we propose a learning analytics approach for assisting course authors performing these tasks. Using logs of learners’ activity, a set of indicators related to course reading activity are computed and used to detect issues and to suggest content revisions. The results are presented to authors through CoReaDa, a learning dashboard empowered with assistive features. We instantiate our proposals using the logs of a major European e-learning platform, and validate them through a study. Study results show the effectiveness of our approach providing authors with more awareness and guidance in improving their courses, to better suit learners’ requirements.

Published
2020

32. Towards Web Browsing Assistance Using Task Modeling Based on Observed Usages

Author

Karim Sehaba, Benoît Encelle, Situated Interaction, Collaboration, Adaptation and Learning (SICAL), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), and Université de Lyon-Université Lumière - Lyon 2 (UL2)

Subjects
Unit testing, Finite-state machine, Computer science, business.industry, 020207 software engineering, 02 engineering and technology, Task (project management), Metamodeling, Set (abstract data type), Knowledge extraction, Human–computer interaction, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, Web application, [INFO]Computer Science [cs], Web navigation, business, ComputingMilieux_MISCELLANEOUS
Abstract

This article deals with knowledge extracted from observed usages of Web sites/applications for assistance purposes. The extracted knowledge is used to develop assistance systems in order to help a) users in carrying out Web browsing tasks, or b) designers to adapt/redesign Web applications. The suggested approach involves the generation of task models from interaction traces, which are then used to perform assistance. Task metamodel characteristics for assistance purposes are firstly identified and then used to develop a comparative study of some well-known task metamodels, resulting in the selection of the ConcurTaskTrees (CTT) metamodel. In order to generate CTT task models, a set of algorithms that identify CTT operators from interaction traces - represented as deterministic finite state automata - are presented. We also expose an approach for performing assistance, for users and designers, based on task models and finally conducted unit testing and validation based on two real web browsing scenarios.

Published
2020

35. Generation of Task Models from Observed Usage Application to Web Browsing Assistance

Author

Benoît Encelle and Karim Sehaba

Subjects
Unit testing, Work (electrical), Knowledge extraction, Human–computer interaction, Computer science, business.industry, Web application, Web navigation, business, Metamodeling, Task (project management)
Abstract

This work focuses on the extraction of knowledge from observed usage. More specifically, it aims to design a Web browsing assistance system that helps the user in carrying out his browsing task, or the designer in adapting or redesigning his Web application, according to real usage. The proposed approach consists of generating task models from interaction traces, which are then used to perform assistance. The characteristics to be supported by a task metamodel for assistance purposes are first identified and then confronted with the characteristics of existing task metamodels. This first study led us to choose the ConcurTaskTrees (CTT) metamodel. We then developed processes to generate CTT task models from traces. Finally, to validate our approach, we conducted unit testing and validation based on two real web browsing scenarios.

Published
2019

36. Adaptive artificial companions learning from users’ feedback

Author

Karim Sehaba, Benoît Encelle, Abir B. Karami, Equipe MAD - Laboratoire GREYC - UMR6072, Groupe de Recherche en Informatique, Image et Instrumentation de Caen (GREYC), Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU)-Normandie Université (NU)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU), Situated Interaction, Collaboration, Adaptation and Learning (SICAL), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), and Université de Lyon-Université Lumière - Lyon 2 (UL2)

Subjects
Adaptive behavior, 0209 industrial biotechnology, Exploit, Process (engineering), Computer science, media_common.quotation_subject, Experimental and Cognitive Psychology, 02 engineering and technology, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Personalization, Behavioral Neuroscience, 020901 industrial engineering & automation, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], 0202 electrical engineering, electronic engineering, information engineering, [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO], Function (engineering), Adaptation (computer science), media_common, business.industry, Companion robots, Markov Decision Processes (MDPs), Interaction Traces, Learning from users’ feedback, [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], Robot, 020201 artificial intelligence & image processing, Markov decision process, Artificial intelligence, business
Abstract

Until recently, propositions on the subject of intelligent service companions, like robots, were mostly user and environment independent. Our work is part of the FUI-RoboPopuli project, which concentrates on endowing entertainment companion robots with adaptive and social behavior. More precisely, we focus on the capacity of an intelligent system to learn how to personalize and adapt its behavior/actions according to its interaction situation that describes (a) the current user attributes, and (b) the current environment attributes. Our approach is based on models of the type of Markov decision processes (MDPs) that are largely used for adaptive robot applications. In order to have, as quickly as possible, a relevant adaptive behavior whatever the interaction situation, several approaches were proposed to decrease the sample complexity required to learn the MDP model, including its reward function. We argue that systems that are based on detecting important attributes for each decision are more likely to converge faster than others. To this end, we present two algorithms to learn the MDP reward function through analyzing interaction traces (i.e., the interaction history between the robot and its users including their feedback regarding the robot actions). The first algorithm is direct, certain and does not particularly exploit its knowledge to adapt to unknown situations (i.e., unknown users’ and/or environment settings). The second is able to detect the importance of certain situation attributes in the adaptation process. The detection of important attributes is used to speed up the learning process and helps by generalizing the learned reward function to unknown situations. In this paper, we present both learning algorithms, simulated experiments and an experiment with the EMOX (EMOtion eXchange) robot that was upgraded during the FUI-RoboPopuli project. The results of those experiments prove that when dealing with adaptive decision making, the detection of important attributes for each decision speeds up the learning process and help in achieving convergence using fewer samples. We also present a scaling analysis through the simulated experiments.

Published
2016

37. Leveraging Learners’ Activity Logs for Course Reading Analytics Using Session-Based Indicators

Author

Yannick Prié, Benoît Encelle, Madjid Sadallah, Azze-Eddine Maredj, Centre de recherche sur l'Information Scientifique et Technique (CERIST), Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.), Situated Interaction, Collaboration, Adaptation and Learning (SICAL), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Université Lumière - Lyon 2 (UL2), Data User Knowledge (DUKe), Laboratoire des Sciences du Numérique de Nantes (LS2N), IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS), Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), and Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)

Subjects
Multimedia, Exploit, Computer science, business.industry, media_common.quotation_subject, Learning analytics, Face (sociological concept), computer.software_genre, Session (web analytics), Computer Science Applications, Education, Course (navigation), [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Identification (information), Analytics, Reading (process), ComputingMilieux_COMPUTERSANDEDUCATION, [INFO.EIAH]Computer Science [cs]/Technology for Human Learning, [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], business, computer, media_common
Abstract

International audience; A challenge that course authors face when reviewing their contents is to detect how to improve their courses in order to meet the expectations of their learners. rnIn this paper, we propose an analytical approach that exploits learners' logs of reading to provide authors with insightful data about the consumption of their courses. rnWe first model reading activity using the concept of reading-session and propose a new and efficient session identification. We then elaborate a list of indicators computed using learners' reading sessions that allow to represent their behaviour and to infer their needs. We evaluate our proposals with course authors and learners using logs from a major e-learning platform. Interesting results were found. This demonstrates the effectiveness of the approach in identifying aspects and parts of a course that may prevent it from being easily read and understood, and for guiding the authors through the analysis and review tasks.

Published
2018

38. Curtains Up! Lights, Camera, Action! Documenting the Creation of Theater and Opera Productions with Linked Data and Web Technologies

Author

Rémi Ronfard, Yannick Prié, Benoît Encelle, Thomas Steiner, Pierre-Antoine Champin, Traces, Web, Education, Adaptation, Knowledge (TWEAK), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Université Lumière - Lyon 2 (UL2), Intuitive Modeling and Animation for Interactive Graphics & Narrative Environments (IMAGINE), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Laboratoire Jean Kuntzmann (LJK), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Centre National de la Recherche Scientifique (CNRS)-Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Situated Interaction, Collaboration, Adaptation and Learning (SICAL), Laboratoire d'Informatique de Nantes Atlantique (LINA), Centre National de la Recherche Scientifique (CNRS)-Mines Nantes (Mines Nantes)-Université de Nantes (UN), ANR CORPUS SHS, International Society for the Web Engineering, Spectacle-en-lignes, ANR-12-CORP-0015,Spectale en ligne(s),Constitution de Corpus, analyse génétique de spectacles et nouvelles publications collaboratives à l'aide d'un dispositif pour la captation, l'indexation et le partage d'archives enrichies selon les standards du Web sémantique, audiovisuel et social(2012), Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Jean Kuntzmann (LJK), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS), and Mines Nantes (Mines Nantes)-Université de Nantes (UN)-Centre National de la Recherche Scientifique (CNRS)

Subjects
live production, Computer science, rehearsal, Opera, Context (language use), Web Components, computer.software_genre, Linked Data Fragments, Set (abstract data type), World Wide Web, Annotation, [INFO.INFO-CY]Computer Science [cs]/Computers and Society [cs.CY], opera, video analysis, Hypervideo, HTML5, Multimedia, [INFO.INFO-WB]Computer Science [cs]/Web, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], audio analysis, Linked data, theater, Audio analyzer, computer, [MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA]
Abstract

International audience; For this paper, in the context of the French research project Spectacle en Ligne(s), we have recorded the entire set of rehearsals of one theater and one opera production using state-of-the-art video equipment. The resulting raw video and audio tracks as well as manually generated annotation data were then preprocessed in order to localize actors and detect their dialogues. Based on these preprocessing steps, we have built a Web-based hypervideo application that allows for navigation through performance time, performance space, and rehearsal time using modern HTML5 Web technologies like the emerging Web Components standard. We publish and consume the annotation data as so-called Linked Data Fragments, a novel way to make triple-based structured data available in a scalable way. As a direct outcome, researchers interested in the genetic analysis and the creation process of live performances can, thanks to this application, freely zoom in and out of scenes, rehearsal sessions, and stage locations in order to better understand the different steps on the way to a chef d'oeuvre. A live demo of the application is publicly available at the URL http://spectacleenlignes.fr/hypervideo/.

Published
2015

39. Learn to Adapt based on Users' Feedback

Author

Karim Sehaba, Abir B. Karami, Benoît Encelle, Supporting Interaction and Learning by Experience (SILEX), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), and Université de Lyon-Université Lumière - Lyon 2 (UL2)

Subjects
User profile, Computer science, Process (engineering), business.industry, User satisfaction, Markov process, Machine learning, computer.software_genre, symbols.namesake, symbols, Robot, [INFO]Computer Science [cs], Artificial intelligence, Hidden Markov model, Behavior-based robotics, Adaptation (computer science), business, computer
Abstract

International audience; Adaptive and personalized behavior is becoming essential and desirable in Human-Robot Interactive systems. We are interested in adaptive robots that learn from interaction traces (previous interactions with users). Our proposal is based on types of interactions where users express their level of satisfaction through feedback. Indeed, depending on the situation of interaction and the user himself, the robot behavior should adjust, and therefore can be judged, differently. From interaction traces (including robot actions and users' feedback), we aim to extract \textit{adaptation rules} that give the dependencies between certain attributes of the interaction situation and/or the user profile, and the level of user satisfaction. We propose two learning algorithms to learn these adaptation rules. The first algorithm is direct, certain and optimal but slow to converge. The second is able to detect the importance of certain attributes in the adaptation process. It generalizes adaptation rules on unknown situations and to first time users, which makes it an approach with risk. We detail in this paper, our proposed model, both learning algorithms, and an evaluation of the learned rules from both algorithms by simulations and through a scenario with real users.

Published
2014

40. Apprentissage de connaissances d'adaptation à partir des feedbacks des utilisateurs

Author

Abir Karami, Karim Sehaba, Benoît Encelle, Nivault, Estelle, Catherine Faron-Zucker, Supporting Interaction and Learning by Experience (SILEX), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Université Lumière - Lyon 2 (UL2), and Situated Interaction, Collaboration, Adaptation and Learning (SICAL)

Subjects
[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Systèmes adaptatifs, apprentissage à partir des feedbacks utilisateurs, extraction de connaissances d'adaptation, traces d'interaction, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
Abstract

Session 2 : Utilisateurs et usages; National audience; Dans le cadre des systèmes adaptatifs, notre travail de recherche porte sur l'acquisition des connaissances d'adaptation à partir des traces d'interaction laissées par les utilisateurs. Les traces contiennent, entre autres, les feedbacks, positifs ou négatifs, des utilisateurs par rapport aux actions du système. Notre objectif est de définir des modèles et des outils permettant d'extraire des règles d'adaptation que le système pourra utiliser, dans son processus de décision, afin de personnaliser son comportement à l'utilisateur. Ces règles d'adaptation établissent des relations de dépendance entre certaines caractéristiques du contexte d'interaction (à savoir certains attributs de la situation d'interaction, tels que le lieu, la luminosité, etc. et/ou du profil de l'utilisateur) et le niveau de satisfaction de l'utilisateur. Pour cela, nous proposons deux algorithmes d'apprentissage. Le premier est direct est certain, dans le sens où toutes les règles générées correspondent à des contextes d'interaction déjà rencontrés par le système, mais nécessite un nombre important de traces pour converger. Le deuxième est plus rapide mais présente des risques d'erreur. En effet, cet algorithme permet de généraliser les règles d'adaptation existantes à de nouveaux contextes d'interaction (i.e. de nouvelles situations et/ou nouveaux profils d'utilisateurs). Dans cet article, nous détaillons les modèles que nous proposons pour représenter les règles d'adaptation et les traces d'interaction ainsi que les deux algorithmes d'apprentissage. Nous présentons également les évaluations que nous avons menées, par simulation et avec de vrais utilisateurs, pour valider nos contributions.

Published
2014

41. Towards Adaptive Robots based on Interaction Traces: A User Study

Author

Abir B. Karami, Benoît Encelle, Karim Sehaba, Supporting Interaction and Learning by Experience (SILEX), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Université Lumière - Lyon 2 (UL2), and SI LIRIS, Équipe gestionnaire des publications

Subjects
0209 industrial biotechnology, Engineering, Focus (computing), Process (engineering), business.industry, media_common.quotation_subject, 010102 general mathematics, Markov process, 02 engineering and technology, [INFO] Computer Science [cs], 01 natural sciences, symbols.namesake, 020901 industrial engineering & automation, symbols, Robot, [INFO]Computer Science [cs], Markov decision process, Artificial intelligence, 0101 mathematics, business, AISoy1, Function (engineering), Adaptation (computer science), media_common
Abstract

International audience; We focus on the problem of adaptivity of companion robots to their users. Until recently, propositions on the subject of intelligent service robots were mostly user independent. Our work is part of the FUI-RoboPopuli project, which concentrates on endowing entertainment companion robots with adaptive and social behaviour. We concentrate on the capacity of robots to learn how to adapt and personalize their behaviour according to their users. Markov Decision Processes (MDPs) are largely used for adaptive robots applications. Several approaches were proposed to decrease the sample complexity to learn the MDP model, including the reward function. We proposed in previous work, two learning algorithms to learn the MDP reward function through analysing interaction traces (i.e. the interaction history between the robot and their users) including users' feedback. The first algorithm is direct and certain. The second is able to detect the importance of certain information, regarding the users (profiles) and/or the environment, in the adaptation process. We present, in this paper, a user study in addition to simulated experiments. Those experiments prove that our proposed algorithms are able to learn, through interactions with real users, a reward function that leads to an adapted and personalised robot behaviour. We also show the ability of our algorithms to handle exceptions and ambiguities in users feedback during experiments with real users.

Published
2013

42. Adaptive and Personalised Robots - Learning from Users' Feedback

Author

Benoît Encelle, Abir-Beatrice Karami, Karim Sehaba, Supporting Interaction and Learning by Experience (SILEX), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Université Lumière - Lyon 2 (UL2), and Projet FUI Robot-Populi

Subjects
0209 industrial biotechnology, Service (systems architecture), Point (typography), business.industry, Computer science, media_common.quotation_subject, Adaptive and personalised robots, Markov process, 02 engineering and technology, Markov Decision Processes MDPs, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], symbols.namesake, 020901 industrial engineering & automation, 0202 electrical engineering, electronic engineering, information engineering, symbols, Robot, 020201 artificial intelligence & image processing, Artificial intelligence, Markov decision process, business, Representation (mathematics), Function (engineering), Learning from users feedback, media_common
Abstract

International audience; Service robots have become increasingly important subjects in our lives. However, they are still facing problems like adaptability to their users. While major work has focused on intelligent service robots, the proposed approaches were mostly user independent. Our work is part of the FUI-RoboPopuli project, which concentrates on endowing entertainment companion robots with adaptive and social behaviour. In particular, we are interested in robots that are able to learn and plan so that they adapt and personalize their behaviour according to their users. Markov Decision Processes (MDPs) are largely used for adaptive robots applications. However, one challenging point is reducing the sample complexity required to learn an MDP model, including the reward function. In this article, we present our contribution regarding the representation and the learning of the reward function through analysing interaction traces (i.e. the interaction history between the robot and their users, including users' feedback). Our approach permits to generalise the learned rewards so that when new users are introduced, the robot may quickly adapt using what it learned from previous experiences with other users. We propose, in this article, two algorithms to learn the reward function. The first is direct and certain; the robot applies with a user what it learned during interaction with same kind of users (i.e. users with similar profiles). The second algorithm generalises what it learns to be applied to all kinds of users. Through simulation, we show that the generalised algorithm converges to an optimal reward function with less than half the samples needed by the direct algorithm.

Published
2013

43. Towards the usage of pauses in audio-described videos

Author

Yannick Prié, Benoît Encelle, Magali Ollagnier Beldame, Supporting Interaction and Learning by Experience (SILEX), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Université Lumière - Lyon 2 (UL2), Laboratoire d'Informatique de Nantes Atlantique (LINA), and Mines Nantes (Mines Nantes)-Université de Nantes (UN)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Video accessibility, Multimedia, Computer science, video enrichment, 05 social sciences, Process (computing), 020207 software engineering, 02 engineering and technology, pauses in audiodescription, computer.software_genre, Void (composites), 0202 electrical engineering, electronic engineering, information engineering, 0501 psychology and cognitive sciences, [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], computer, 050107 human factors
Abstract

International audience; Classical audiodescription process for improving video accessibility sometimes finds its limits. Depending on the video, required descriptions can be omitted because these may not fit in the durations of "gaps" in the video soundtrack (i.e. "void" spaces between dialogues or important sound elements). To address this issue, we present an exploratory work that focuses on the usage of "artificial" pauses in audio-described videos. Such pauses occur during the playing of the video so as to transmit more audio-descriptions. Our results show artificial pauses offer a good acceptability level as well as a low disturbing effect.

Published
2013

44. A Framework for Usage-based Document Reengineering

Author

Yannick Prié, Benoît Encelle, Azze-Eddine Mared, Madjid Sadallah, Prié, Yannick, DTISI, CERIST, Supporting Interaction and Learning by Experience (SILEX), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Université Lumière - Lyon 2 (UL2), LINA, and Université de Nantes (UN)

Subjects
Cover (telecommunications), Computer science, media_common.quotation_subject, H.5.2 [Information Interfaces and Presentation]: User Interfaces, I.7.4 [Document and Text Processing]: Elec- tronic Publishing, Well-formed document, 02 engineering and technology, Representation (arts), Document management system, Business process reengineering, computer.software_genre, World Wide Web, Reading (process), Traces, Annotations, 0202 electrical engineering, electronic engineering, information engineering, Document reconception, [INFO.INFO-DL]Computer Science [cs]/Digital Libraries [cs.DL], Digital reading, Document reengineering, media_common, 05 social sciences, 050301 education, 020207 software engineering, Reading usages, Work (electrical), Conceptual framework, ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, [INFO.INFO-DL] Computer Science [cs]/Digital Libraries [cs.DL], 0503 education, computer
Abstract

International audience; This ongoing work investigates usage-based document reengineering as a means to support authors in modifying their documents. Document usages (i.e. usage feedbacks) cover readers' explicit annotations and their reading traces. We first describe a conceptual framework with various levels of assistance for document reengineering: indications on reading, problem detection, reconception suggestions and automatic reconception propositions, taking our example in e-learning document management. We then present a technical framework for usage-based document reengineering and its associated models for documents, annotations and traces representation.

Published
2013

45. Models for video enrichment

Author

Pierre-Antoine Champin, Olivier Aubert, Yannick Prié, Benoît Encelle, Supporting Interaction and Learning by Experience (SILEX), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), and Université de Lyon-Université Lumière - Lyon 2 (UL2)

Subjects
Hypervideo, Multimedia, Computer science, 05 social sciences, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Disabled people, Temporal parts, 02 engineering and technology, Hyperlink, computer.software_genre, Rendering (computer graphics), Annotation, Workflow, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, 0501 psychology and cognitive sciences, [INFO]Computer Science [cs], computer, 050107 human factors
Abstract

International audience; Videos are commonly being augmented with additional content such as captions, images, audio, hyperlinks, etc., which are rendered while the video is being played. We call the result of this rendering “enriched videos”. This article details an annotationbased approach for producing enriched videos: enrichment is mainly composed of textual annotations associated to temporal parts of the video that are rendered while playing it. The key notion of enriched video and associated concepts is first introduced and we second expose the models we have developed for annotating videos and for presenting annotations during the playing of the videos. Finally, an overview of a general workflow for producing/viewing enriched videos is presented. This workflow particularly illustrates the usage of the proposed models in order to improve the accessibility of videos for sensory disabled people.

Published
2011

46. An adaptive videos enrichment system based on decision trees for people with sensory disabilities

Author

Pierre-Antoine Champin, Benoît Encelle, José Francisco Saray Villamizar, Yannick Prié, Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2), Supporting Interaction and Learning by Experience (SILEX), and Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon)

Subjects
Modalities, Multimedia, Mechanism (biology), Computer science, 05 social sciences, Decision tree, 020207 software engineering, Cognition, Sensory system, 02 engineering and technology, computer.software_genre, Personalization, 0202 electrical engineering, electronic engineering, information engineering, Key (cryptography), [INFO]Computer Science [cs], 0501 psychology and cognitive sciences, computer, 050107 human factors
Abstract

International audience; The ACAV project aims at improving videos accessibility on the Web to people with sensory disabilities. For this purpose, additional descriptions of key visual/audio information of the video, that cannot be perceived, are presented using accessible output modalities. However, a personalization mechanism is necessary to adapt these descriptions and their presentations according to user interests, cognitive and physical capabilities. In this article, concepts needed for this kind of personalization are introduced and an adaptive personalization mechanism of descriptions and associated presentations is suggested and evaluated.

Published
2011

47. Annotation-based video enrichment for blind people: A pilot study on the use of earcons and speech synthesis

Author

Magali Ollagnier-Beldame, Stéphanie Pouchot, Yannick Prié, Benoît Encelle, Pouchot, Stéphanie, Supporting Interaction and Learning by Experience (SILEX), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Equipe de recherche de Lyon en sciences de l'information et de la communication (ELICO), Université Lumière - Lyon 2 (UL2)-École nationale supérieure des sciences de l'information et des bibliothèques (ENSSIB), Université de Lyon-Université de Lyon-Sciences Po Lyon - Institut d'études politiques de Lyon (IEP Lyon), Université de Lyon-Université Jean Moulin - Lyon 3 (UJML), Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon, Ministère de l'Economie, des Finances et de l'Industrie - DGCIS (Direction générale de la compétitivité, de l'industrie et des services), ACAV, Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Université Lumière - Lyon 2 (UL2), Sciences Po Lyon - Institut d'études politiques de Lyon (IEP Lyon), and Université de Lyon-Université de Lyon-École nationale supérieure des sciences de l'information et des bibliothèques (ENSSIB)

Subjects
Video annotation, ACM : Design, Experimentation, Human Factors, Computer science, accessibility for blind people, [SHS.INFO]Humanities and Social Sciences/Library and information sciences, Speech recognition, video enrichment, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Speech synthesis, Online video, computer.software_genre, video accessibility, [SHS.INFO] Humanities and Social Sciences/Library and information sciences, video annotation, Nonverbal communication, Annotation, Side effect (computer science), [INFO.INFO-CY] Computer Science [cs]/Computers and Society [cs.CY], [INFO.INFO-CY]Computer Science [cs]/Computers and Society [cs.CY], Rhythm perception, [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], [INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC], audio notification, computer
Abstract

8 p.; International audience; Our approach to address the question of online video accessibility for people with sensory disabilities is based on video annotations that are rendered as video enrichments during the playing of the video. We present an exploratory work that focuses on video accessibility for blind people with audio enrichments of videos composed of speech synthesis and earcons (audio notifications). Our main results are that earcons can be used together with speech synthesis to enhance understanding of videos; that earcons should be accompanied with explanations; and that a potential side effect of earcons is related to video rhythm perception.

Published
2011

48. Adapted Multimodal End-User Interfaces for XML-Content

Author

Florence Sèdes, Benoît Encelle, Nadine Baptiste-Jessel, Supporting Interaction and Learning by Experience (SILEX), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Université Lumière - Lyon 2 (UL2), Systèmes d’Informations Généralisées (IRIT-SIG), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, and Université Toulouse - Jean Jaurès (UT2J)

Subjects
Multimedia, computer.internet_protocol, End user, Computer science, 05 social sciences, 02 engineering and technology, User requirements document, computer.software_genre, Multimodal interaction, Personalization, User interface design, Human–computer interaction, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, [INFO]Computer Science [cs], 0501 psychology and cognitive sciences, User interface, computer, 050107 human factors, XML, XPath
Abstract

International audience; Personalization of user interfaces for browsing content is a key concept to ensure content accessibility. This personalization is especially needed for people with disabilities (e.g,. visually impaired) and/or for highly mobile individuals (driving, off-screen environments) and/or for people with limited devices (PDAs, mobile phones, etc.). In this direction, we introduce mechanisms, based on a user requirements study, that result in the generation of personalized user interfaces for browsing particular XML content types. These on-the-fly generated user interfaces can use several modalities for increasing communication possibilities: in this way, interactions between the user and the system can take place in a more natural manner.

Published
2010

49. Towards Collaborative Annotation for Video Accessibility

Author

Benoît Encelle, Raphaël Troncy, Yannick Prié, Magali Ollagnier Beldame, Pierre-Antoine Champin, Nicholas Evans, Supporting Interaction and Learning by Experience (SILEX), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Université Lumière - Lyon 2 (UL2), EURECOM, and Eurecom [Sophia Antipolis]-Centre National de la Recherche Scientifique (CNRS)

Subjects
Multimedia, Computer science, 05 social sciences, 02 engineering and technology, computer.software_genre, Rendering (computer graphics), World Wide Web, Annotation, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, [INFO]Computer Science [cs], 0509 other social sciences, 050904 information & library sciences, computer
Abstract

International audience; The ACAV project aims to explore how the accessibility of web videos can be improved by providing rich descriptions of video content in order to personalize the rendering of the content according to user disabilities. We present a motivating scenario, the results of a preliminary study as well as the different technologies that will be developed.

Published
2010

50. BMML: Braille Music Markup Language

Author

Bachelin Ralalason, Benoît Encelle, Nadine Jessel, Javier Asensio, Josiane Mothe, Supporting Interaction and Learning by Experience (SILEX), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Université Lumière - Lyon 2 (UL2), Systèmes d’Informations Généralisées (IRIT-SIG), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, Université Toulouse - Jean Jaurès (UT2J), and SI LIRIS, Équipe gestionnaire des publications

Subjects
Musical notation, Markup language, Multimedia, Computer science, computer.internet_protocol, 020207 software engineering, 02 engineering and technology, Representation (arts), Musical, [INFO] Computer Science [cs], Braille, computer.software_genre, Notation, World Wide Web, Web Accessibility Initiative, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, [INFO]Computer Science [cs], computer, XML
Abstract

International audience; Thanks to the WAI (Web Accessibility Initiative) guidelines for producing accessible HTML documents, visually impaired people can have better access to a lot of textual information. Concerning musical score, several encoding formats are available, focusing on the representation of different aspects of this kind of content. As XML is the standard for exchanging content through the Web, several XML applications have already been specified for representing musical scores, using the traditional music notation. As a result, users can access and share a lot of different types of musical content using the Web. However, for specific notations – like the Braille one - no dedicated XML application has been developed yet. Therefore, visually impaired musicians cannot easily represent, share, and access scores using the Web. This paper presents the application we have developed to respond to this need: BMML (Braille Music Markup Language). BMML handles specificities of Braille Music notation and takes into account the core features of existing formats. The main objective of BMML is to improve the accessibility of Braille musical scores.

Published
2009

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