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El Mawas N.,CNRS Informatics Laboratory of Du Maine University
2014 International Conference on Collaboration Technologies and Systems, CTS 2014 | Year: 2014

In this paper we present the Architecture for Representations, Games, Interactions, and Learning among Experts (ARGILE) suitable for participatory and knowledge-intensive serious games. It proposes solutions within the context of targeted learning, concerning scenarios, in which conception of serious games, and their utilization through a better share by designers is considered. In this work, we are interested in the training of advanced expertise and complex practices (e.g. best practices acquisition in crisis management, decision making in complex socio-technical systems.) where the transmitted knowledge is in the form continuous evolution. The rules and the game objects are directly generated from a special discussion forum, which contains successive versions of the textual rules/items continuously discussed, co-built by the designers' community, and in strong relation with the players' community. We suggest a set of criteria, methodology and experiments to verify that the rules and game objects are easily annotated, discussed and modified by trainers and experts of the field using ARGILE. That will be illustrated concretely, using the ideas presented on an example in sustainability. © 2014 IEEE. Source

Riedhammer K.,Friedrich - Alexander - University, Erlangen - Nuremberg | Riedhammer K.,International Computer Science Institute | Favre B.,International Computer Science Institute | Favre B.,CNRS Informatics Laboratory of Du Maine University | Hakkani-Tur D.,International Computer Science Institute
Speech Communication | Year: 2010

We analyze and compare two different methods for unsupervised extractive spontaneous speech summarization in the meeting domain. Based on utterance comparison, we introduce an optimal formulation for the widely used greedy maximum marginal relevance (MMR) algorithm. Following the idea that information is spread over the utterances in form of concepts, we describe a system which finds an optimal selection of utterances covering as many unique important concepts as possible. Both optimization problems are formulated as an integer linear program (ILP) and solved using public domain software. We analyze and discuss the performance of both approaches using various evaluation setups on two well studied meeting corpora. We conclude on the benefits and drawbacks of the presented models and give an outlook on future aspects to improve extractive meeting summarization. © 2010 Elsevier B.V. Source

Garletti A.,CNRS Informatics Laboratory of Du Maine University
World Academy of Science, Engineering and Technology | Year: 2010

Our research aims at helping the tutor on line to evaluate the student's cognitive processes. The student is a learner in French as a Second Language who studies an on-line socio-cognitive scenario in written communication. In our method, these cognitive processes are defined. For that, the language abilities and learning tasks are associated to cognitive operation. Moreover, the found cognitive processes are named with specific terms. The result was to create an instrumental pattern to question the learner about the cognitive processes used to build an item of written comprehension. Our research follows the principles of the third historical generation of studies on the cognitive activity of the text comprehension. The strength of our instrumental pattern stands in the precision and the logical articulation of the questions to the learner. However, the learner's answers can still be subjective but the precision of the instrument restricts it. Source

El Khoury E.,Idiap Research Institute | El Khoury E.,CNRS Informatics Laboratory of Du Maine University | Senac C.,CNRS Toulouse Institute in Information Technology | Joly P.,CNRS Toulouse Institute in Information Technology
Multimedia Tools and Applications | Year: 2014

Audio-Visual People Diarization (AVPD) is an original framework that simultaneously improves audio, video, and audiovisual diarization results. Following a literature review of people diarization for both audio and video content and their limitations, which includes our own contributions, we describe a proposed method for associating both audio and video information by using co-occurrence matrices and present experiments which were conducted on a corpus containing TV news, TV debates, and movies. Results show the effectiveness of the overall diarization system and confirm the gains audio information can bring to video indexing and vice versa. © 2012 Springer Science+Business Media, LLC. Source

Carlier F.,CNRS Informatics Laboratory of Du Maine University | Renault V.,CNRS Informatics Laboratory of Du Maine University
Proceedings - 10th IEEE International Conference on Advanced Learning Technologies, ICALT 2010 | Year: 2010

In the context of educational devices, and of Web portals in particular, the learner and the tutor can be confused by the sheer volume of information available, the evolution of the educational practices in relation to mobile supports and the problems of asynchronous interactions. Our task is to find a way to augment the Web's educational portals using animated characters and mobile supports with a view to relocating synthetic information adapted to the active user (learner or tutor) in a particular context. We present an epiphyte architecture which works with an existing educational portal. We illustrate this work using a scenario in which a mobile system, such as an iPhone, allows the teacher to see the progress of his students, in real time, during practical sessions. © 2010 IEEE. Source

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