Hassan Atifi
University of Technology of Troyes
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Publication
Featured researches published by Hassan Atifi.
signal-image technology and internet-based systems | 2010
Nada Matta; Hassan Atifi; Mohammed Sediri; Mohammed Sagdal
In order to promote reuse, we have to help designers understand the context of previous projects . We have to build project memories that not only simply archive previous project solutions but that document the reasons why these solutions were chosen. These reasons have to show experts skills, document the representation of treated problems and the decision context, etc. This study presents a way to analyze mediated discussions using a discussion forum. We use pragmatic analysis in order to identify criteria that help to analyze coordination messages in design projects. These criteria can help to emphasize the context of decision making based on coordination interactions.
COOP | 2010
Matthieu Tixier; Myriam Lewkowicz; Michel Marcoccia; Hassan Atifi; Aurélien Bénel; Gérald Gaglio; Nadia Gauducheau
People are turning increasingly to the Internet to find support and share their experience and feelings when they are undergoing hardships such as medical problems. The aim of our ongoing research project is to design innovative online social support services. In order to pave the way for this complex undertaking, several interdisciplinary studies were conducted in this framework: discourse analysis was carried out on online discussions focusing on social support, observers attended support group meetings attended by family caregivers, and interviews were conducted with these caregivers. The application of our findings to our design project is discussed.
federated conference on computer science and information systems | 2014
Nada Matta; Hassan Atifi; François Rauscher
Some professional e-mails contain knowledge about how actor face problem in order to realize projects. This type of knowledge is produced in cooperative activity. Representing project knowledge leads to structure link between coordination, cooperative decision-making and communication. The main objective of our work is to extract knowledge from daily work. So the main questions of our research are: • Can we extract knowledge from professional e-mails? • If so, which type of knowledge can be represented? • How to link this knowledge to project memory? We present in this paper our first work in this aim. Our hypothesis is tested on a software development application.
international joint conference on artificial intelligence | 2015
François Rauscher; Nada Matta; Hassan Atifi
Even if immaterial capital represents an increasingly important part of the value of our enterprises, it’s not always possible to store, trace or capture knowledge and expertise, for instance in middle sized projects. Email it still widely used in professional projects especially among geographically distributed teams. In this paper we present a novel approach to detect zones inside business emails where elements of knowledge are likely to be found. We define an enhanced context taking into account not only the email content and metadata but also the competencies of the users and their roles. Also linguistic pragmatic analysis is added to usual NLP technics. After describing our model and method, we apply it to a real life corpus and evaluate the results based on machine learning experiments and filtering algorithm.
international conference on advances in production management systems | 2015
Nada Matta; Xinghang Dai; François Rauscher; Hassan Atifi; Guillaume Ducellier
From the beginning, knowledge is a preoccupation of human human preoccupation. A lot of questions are still discussed: what is knowledge? How knowledge is built? How is it represented in mind? How can it be kept? How can it be learned? Our challenge is how to capture design project knowledge related to work episodes and how to extract and represent the deep knowledge belonging to the type of projects and design activities. In this paper, we present an approach that helps to capture knowledge from daily design project environment and to aggregate this knowledge as classifications.
Psychology of Language and Communication | 2016
Marc Aguert; Virginie Laval; Nadia Gauducheau; Hassan Atifi; Michel Marcoccia
Abstract The literature suggests that irony production expands in the developmental period of adolescence. We aimed to test this hypothesis by investigating two channels: face-to-face and computer-mediated communication (CMC). Corpora were collected by asking seventh and 11th graders to freely discuss some general topics (e.g., music), either face-to-face or on online forums. Results showed that 6.2% of the 11th graders’ productions were ironic utterances, compared with just 2.5% of the seventh graders’ productions, confirming the major development of irony production in adolescence. Results also showed that adolescents produced more ironic utterances in CMC than face-to-face. The analysis suggested that irony use is a strategy for increasing in-group solidarity and compensating for the distance intrinsic to CMC, as it was mostly inclusive and well-marked on forums. The present study also confirmed previous studies showing that irony is compatible with CMC.
international joint conference on artificial intelligence | 2015
Nada Matta; Guillaume Ducellier; Hassan Atifi
From the beginning, human being is interesting in knowledge. A lot of questions are discussed: what is knowledge? How knowledge is built? How is it represented in mind? How can it be kept? How can it be learned? … The notion of Knowledge is defined from the antiquity. Platon, for instance, define the thought as the intellectual model of objects. Heraclite went towards the definition of the logos as a triangle in which thought is distinguished from expression and from reality. Saussure defined the basic principle of the semiotic as: a representation of knowledge embedded in an activity and related to a specific symbol. Currently these representations are more and more used to enhance learning from expertise and past experience. So, human does making sense by recognizing concepts from his references (memory). Based on this theory, knowledge engineering approaches provide techniques that help to represent expertise as references and enhance learning from these references. We study how to capture and represent knowledge produced in daily work. This type of knowledge belongs to episodic memory. Experiences must be repeated in order to represent epistemic and semantic knowledge (references) that can be applied to face new problems. We develop techniques to capture daily knowledge in order to develop semantic classifications and enhance learning in an organization.
international conference on computer sciences and convergence information technology | 2010
Nada Matta; Hassan Atifi; Mohammed Sediri; Mohammed Sagdal
In order to promote reuse, we have to help designers understand the context of previous projects . We have to build project memories that not only simply archive previous project solutions but that document the reasons why these solutions were chosen. These reasons have to show experts skills, document the representation of treated problems and the decision context, etc. This study presents a way to analyze mediated discussions using a discussion forum. We use pragmatic analysis in order to identify criteria that help to analyze coordination messages in design projects. These criteria can help to emphasize the context of decision making based on coordination interactions.
Language@Internet | 2008
Michel Marcoccia; Hassan Atifi; Nadia Gauducheau
COOP | 2008
Myriam Lewkowicz; Michel Marcoccia; Hassan Atifi; Aurélien Bénel; Gérald Gaglio; Nadia Gauducheau; Matthieu Tixier