François Bouchet : Curriculum Vitae
François Bouchet, Ph.D.
Office 26-00-4234 place Jussieu, BP 169
75005 Paris
Current position
Assistant Professor at Université Pierre et Marie Curie (UPMC)
Researcher at Laboratoire d'Informatique de Paris 6 (LIP6) in the MOCAH team
Education and degrees
2006 - 2010: PhD in Computer Science (Paris-Sud 11 University), with highest honors
2005 - 2006: Master in Computer Science (Paris-Sud 11 University), with highest honors
2001 - 2005: Master of Engineering (ESIEA), with highest honors
... - 2000: French baccalaureate, scientific section, with highest honors
Professional experience
Jan 2011 - Aug 2013: Postdoctoral fellow, McGill University (Montreal, Canada)
Member of Dr. Azevedo's SMART Laboratory, lead designer of MetaTutor (an agent-based intelligent tutoring system fostering self-regulated learning). Application of educational data mining techniques to study user-agent interaction, with focus on affective data.
Oct 2010 - Jan 2011: Development project manager, ArtiWit (Paris, France)
Update and maintenance of a dialog-based debate serious game (SparkDebate)
Oct 2009 - Sep 2010: Research Associate, LIMSI-CNRS (Orsay, France)
Member of the AMI team, research centered on the concept of cognitive biases in Embodied Conversational Agents
Sep 2006 - Sep 2009: PhD Student, LIMSI-CNRS (Orsay, France)
Design of a natural language processing chain for an assisting conversational agent, under the supervision of Jean-Paul Sansonnet
Mar 2006 - Aug 2006: Predoctoral internship, LIMSI-CNRS (Orsay, France)
Design of a corpus-based formal language to represent the semantic of requests issused to assisting conversational agents, under the supervision of Jean-Paul Sansonnet
Mar 2005 - Dec 2005: R&D assistant project manager, As An Angel (Paris, France)
Design and optimization of a lexical semantic frame-based analyzer (in Java & Python) for an entertaining conversational agent in the context of the SimDate project
Jun 2004 - Jul 2004: Intranet developer, Xerox Europe (Uxbridge, UK)
Design of a web-based interface for a Document Management System using SAP
Jun 2003 - Jul 2003: Network software developer, FLD Actua-Media (Saint-Aubin, France)
Design of a software (in C) controling hotel network switches using SNMP requests
Publications
[1]
F. Bouchet, J. M. Harley, and R. Azevedo, “Can adaptive pedagogical agents’ prompting strategies improve students’ learning and self-regulation?,” in Intelligent Tutoring Systems: 13th International Conference, Zagreb, Croatia, 2016, pp. 368–374.
[2]
N. Papaioannou, R. S. Landis, C. K. Carter, R. Azevedo, F. Bouchet, and J. M. Harley, “Computer-based Learning Environments in Organizational Training: Impact of Learning Environment and Personality,” presented at the 28th Annual Convention of the Association for Psychological Science, Chicago, IL, USA, 2016.
[3]
R. Feyzi-Behnagh, R. Azevedo, F. Bouchet, and Y. Tian, “The role of an open learner model and immediate feedback on metacognitive calibration in MetaTutor,” in The 2016 Annual meeting of the American Educational Research Association, Washington, DC, USA, 2016.
[4]
H. Labarthe, R. Bachelet, F. Bouchet, and K. Yacef, “Increasing MOOC completion rates through social interactions: a recommendation system,” in Proc. of the European Stakeholder Summit on experiences and best practices in and around MOOCs, Graz, Austria, 2016, pp. 471–480.
[5]
F. Bouchet and R. Goasdoué, “Work on NeoPraEval data,” in prep.
[6]
J. Ranellucci, F. Bouchet, E. G. Poitras, N. C. Hall, and S. P. Lajoie, “WordNet Affect on Tweemo,” in prep.
[7]
H. Labarthe, F. Bouchet, R. Bachelet, and K. Yacef, “Does a Peer Recommender Foster Students’ Engagement in MOOCs?,” in Proc. of the 9th International Conference on Educational Data Mining, Raleigh, NC, USA, 2016, pp. 418–423.
[8]
J. M. Harley, M. Taub, R. Azevedo, and F. Bouchet, “Co-reg paper,” in prep.
[9]
N. Mudrick, R. Azevedo, M. Taub, and F. Bouchet, “Does the Frequency of Pedagogical Agent Intervention Relate to Learners’ Self-Reported Boredom while using Multi-Agent Intelligent Tutoring Systems?,” in Proc. of the 37th Annual Meeting of the Cognitive Science Society, Pasadena, CA, USA, 2015, pp. 1661–1666.
[10]
G. Trevors, R. Feyzi-Behnagh, R. Azevedo, and F. Bouchet, “Self-Regulated Learning Processes Vary as a Function of Epistemic Beliefs and Contexts: Mixed Method Evidence from Eye Tracking and Concurrent and Retrospective Reports,” L&I, vol. 42, pp. 31–46, Apr. 2016.
[11]
F. Bouchet and R. Bachelet, “Do MOOC students come back for more? Recurring Students in the GdP MOOC,” in Proc. of the European MOOCs Stakeholders Summit 2015, Mons, Belgium, 2015, pp. 174–182.
[12]
J. M. Harley et al., “Examining the predictive relationship between personality and emotion traits and learners’ agent-directed emotions,” in Proc. of the 17th Conference on Artificial Intelligence in Education (AIED 2015), Madrid, Spain, 2015, vol. 9112, pp. 145–154.
[13]
I. Bani, F. Bouchet, and R. Bachelet, “Towards attrition reduction in MOOCs using learning traces to form dyads,” cancelled.
[14]
J. M. Harley, F. Bouchet, M. S. Hussain, R. Azevedo, and R. A. Calvo, “A Multi-Componential Analysis of Emotions during Complex Learning with an Intelligent Multi-agent System,” CHB, vol. 48, pp. 615–625, Jul. 2015.
[15]
J.-P. Sansonnet and F. Bouchet, “A Framework Covering the Influence of FFM/NEO PI-R Traits over the Dialogical Process of Rational Agents,” in Agents and Artificial Intelligence, vol. 449, J. Filipe and A. Fred, Eds. Springer Berlin Heidelberg, 2014, pp. 62–79.
[16]
J. Ranellucci, F. Bouchet, E. G. Poitras, S. P. Lajoie, and R. Azevedo, “An analysis of emotions in educationally relevant tweets,” in The 2014 Annual meeting of the American Educational Research Association, Philadelphia, PA, USA, 2014.
[17]
J. M. Harley, F. Bouchet, M. S. Hussain, R. Azevedo, and R. A. Calvo, “A Multi-Componential Analysis of Emotions during Complex Learning with an Intelligent Multi-Agent System,” in The 2014 Annual meeting of the American Educational Research Association, Philadelphia, PA, USA, 2014.
[18]
J. M. Harley et al., “Assessing Learning with MetaTutor, a Multi-Agent Hypermedia Learning Environment,” in The 2014 Annual meeting of the American Educational Research Association, Philadelphia, PA, USA, 2014.
[19]
J. M. Harley et al., “Examining the predictive relationship between personality and emotion traits and students’ agent-directed emotions: towards emotionally-adaptive agent-based learning environments,” User Modeling and User-Adapted Interaction, vol. 26, no. 2, pp. 177–219, Feb. 2016.
[20]
M. Taub, R. Azevedo, F. Bouchet, and B. Khosravifar, “Can the use of cognitive and metacognitive self-regulated learning strategies be predicted by learners’ levels of prior knowledge in hypermedia-learning environments?,” CHB, vol. 39, pp. 356–367, Jul. 2014.
[21]
R. Feyzi-Behnagh, G. Trevors, R. Azevedo, and F. Bouchet, “Investigation of the Impact of Multi-Representational Discrepancies on Multimedia Learning and Metacomprehension by Converging Process and Product Data,” Computers & Education, under review.
[22]
M. Taub, R. Azevedo, N. Mudrick, and F. Bouchet, “Sub-goal sequence matters: determining the effects of sub-goal sequence on emotions during learning with hypermedia-learning environments,” in The 6th Biennial Meeting of the EARLI Special Interest Group 16 - Metacognition, Istanbul, Turkey, 2014.
[23]
N. Mudrick, R. Azevedo, M. Taub, and F. Bouchet, “How Do Pedagogical Agents’ SRL-Prompts Impact Students' Affect as They Interact with Intelligent Tutoring Systems?,” in The 6th Biennial Meeting of the EARLI Special Interest Group 16 - Metacognition, Istanbul, Turkey, 2014.
[24]
R. Azevedo, M. Taub, N. Mudrick, R. Feyzi-Behnagh, and F. Bouchet, “The impact of pedagogical agents’ scaffolding of metacognitive self-regulatory processes during learning with MetaTutor,” in The 6th Biennial Meeting of the EARLI Special Interest Group 16 - Metacognition, Istanbul, Turkey, 2014.
[25]
R. Azevedo, N. Mudrick, M. Taub, R. Feyzi-Behnagh, and F. Bouchet, “Are pedagogical agents effective in scaffolding metacognitive processes during learning with MetaTutor?,” in The 6th Biennial Meeting of the EARLI Special Interest Group 16 - Metacognition, Istanbul, Turkey, 2014.
[26]
R. Azevedo, N. Mudrick, M. Taub, R. Feyzi-Behnagh, and F. Bouchet, “Understanding the nature of self-regulated learning with metacognitive tools: Converging eye-tracking, log-file, and facial expressions,” in The Meeting of the EARLI Special Interest Groups 6&7 - “Instructional Design” and “Learning and Instruction with Computers,” Rotterdam, the Netherlands, 2014.
[27]
J. Ranellucci, E. G. Poitras, F. Bouchet, S. P. Lajoie, and N. C. Hall, “Understanding Emotional Expressions in Social Media through Data Mining,” in Emotions, Technology, and Social Media, S. Y. Tettegah, Ed. Academic Press, 2016, pp. 85–104.
[28]
M. Taub, R. Azevedo, N. Mudrick, E. Clodfelter, and F. Bouchet, “Can scaffolds from pedagogical agents influence effective completion of sub-goals during learning with Metatutor?,” in Learning and becoming in practice : The International Conference of the Learning Sciences (ICLS) 2014, Boulder, CO, USA, 2014, vol. 2, pp. 1052–1056.
[29]
N. Mudrick, R. Azevedo, M. Taub, R. Feyzi-Behnagh, and F. Bouchet, “A Study of subjective emotions, self-regulatory processes, and learning gains: are pedagogical agents effective in fostering learning?,” in Learning and becoming in practice : The International Conference of the Learning Sciences (ICLS) 2014, Boulder, CO, USA, 2014, vol. 1, pp. 309–316.
[30]
M. Duffy, R. Azevedo, S. Meterissian, and F. Bouchet, “VirtualSelf: A computer-based learning environment for patient education using physiological and trace data,” presented at the Institute of Industrial Engineers Annual Conference and Expo 2014, Montreal, QC, Canada, 2014.
[31]
F. Bouchet and J.-P. Sansonnet, “Agents Conversationnels Psychologiques : Modélisation des réactions rationnelles et comportementales des agents assistants conversationnels,” RIA, vol. 27, no. 6, pp. 679–708, Dec. 2013.
[32]
J. M. Harley, F. Bouchet, and R. Azevedo, “Providing adaptive, real-time tutorial feedback in MetaTutor,” in Annual Conference of the Education Graduate Students’ Society: Meeting in the Middle: (de)Constructing Knowledge, Montreal, QC, Canada, 2013.
[33]
B. Khosravifar, R. Feyzi-Behnagh, R. Azevedo, F. Bouchet, J. M. Harley, and M. Taub, “Modeling and Fostering Self-Regulated Learning in a Multi-Agent Intelligent Tutoring System,” International Journal of Artificial Intelligence in Education, cancelled.
[34]
F. Bouchet, J. M. Harley, and R. Azevedo, “Impact of Different Pedagogical Agents’ Adaptive Self-Regulated Prompting Strategies on Learning with MetaTutor,” in Proc. of the 16th Conference on Artificial Intelligence in Education (AIED 2013), Memphis, TN, 2013, vol. 7926, pp. 815–819.
[35]
J. M. Harley, F. Bouchet, and R. Azevedo, “Aligning and Comparing Data on Emotions Experienced during Learning with MetaTutor,” in Proc. of the 16th Conference on Artificial Intelligence in Education (AIED 2013), Memphis, TN, 2013, vol. 7926, pp. 61–70.
[36]
D. Bondareva, C. Conati, R. Feyzi-Behnagh, J. M. Harley, R. Azevedo, and F. Bouchet, “Inferring Learning from Gaze Data during Interaction with an Environment to Support Self-Regulated Learning,” in Proc. of the 16th Conference on Artificial Intelligence in Education (AIED 2013), Memphis, TN, 2013, vol. 7926, pp. 229–238.
[37]
J.-P. Sansonnet, F. Bouchet, and N. Sabouret, “Moteurs de personnalité pour agents dialogiques : étude d’un modèle pour les traits interpersonnels,” in SMA Systèmes Multi-agents JFSMA 13 - 21e Journées francophones sur les systèmes multi-agents, Lille, France, 2013, pp. 105–114.
[38]
B. Khosravifar, F. Bouchet, R. Feyzi-Behnagh, R. Azevedo, and J. M. Harley, “Using Intelligent Multi-Agent Systems to Model and Foster Self-Regulated Learning: A Theoretically-Based Approach using Markov Decision Process,” in The IEEE 27th International Conference on Advanced Information Networking and Applications (AINA-2013), Barcelona, Catalonia, Spain, 2013, pp. 413–420.
[39]
R. Feyzi-Behnagh, G. J. Trevors, F. Bouchet, and R. Azevedo, “Aligning Multiple Sources of SRL Data in MetaTutor: Towards Interactive Scaffolding in Multi-Agent Systems,” in Symposium in the 15th Biennial Meeting of the European Association for Research on Learning and Instruction (EARLI 2013), Munich, Germany, 2013.
[40]
G. J. Trevors, R. Feyzi-Behnagh, A. Saxena, F. Bouchet, and R. Azevedo, “Students regulate their learning processes as a function of multimedia coherence: Analyses of eye-gaze behaviour,” in The 15th Biennial Meeting of the European Association for Research on Learning and Instruction (EARLI 2013), Munich, Germany, 2013.
[41]
M. Taub, R. Azevedo, F. Bouchet, R. Feyzi-Behnagh, and J. M. Harley, “Can prior knowledge adequately predict the use of metacognitive processes during hypermedia learning?,” in The 15th Biennial Meeting of the European Association for Research on Learning and Instruction (EARLI 2013), Munich, Germany, 2013.
[42]
R. Azevedo, R. Feyzi-Behnagh, J. M. Harley, and F. Bouchet, “Analyzing temporally unfolding self-regulatory processes during learning with multi-agent technologies,” in Symposium in the 15th Biennial Meeting of the European Association for Research on Learning and Instruction (EARLI 2013), Munich, Germany, 2013.
[43]
R. Azevedo et al., “MetaTutor: an innovative technology environment to study and assess self-regulatory processes,” in Symposium in the 15th Biennial Meeting of the European Association for Research on Learning and Instruction (EARLI 2013), Munich, Germany, 2013.
[44]
J. M. Harley, M. Taub, F. Bouchet, J. Henchey, and R. Azevedo, “Profiling Learners’ Co-Regulation Patterns with a Pedagogical Agent in an Intelligent Tutoring System for Learning About Human Biology,” in The 2013 Annual meeting of the American Educational Research Association, San Francisco, CA, USA, 2013.
[45]
R. Feyzi-Behnagh et al., “Understanding Multimedia Learning by Converging Process and Product Data,” in The 2013 Annual meeting of the American Educational Research Association, San Francisco, CA, USA, 2013.
[46]
J. M. Harley, C. Carter, N. Papaioannou, F. Bouchet, R. Azevedo, and R. S. Landis, “Examining Learners’ Academic Achievement Emotions during Science Learning with an Intelligent, Hypermedia Multi-Agent System,” in The 2013 Annual meeting of the American Educational Research Association, San Francisco, CA, USA, 2013.
[47]
B. Khosravifar et al., “Using Intelligent Multi-Agent Systems to Model and Foster Self-Regulated Learning: A Theoretically-Based Approach using Markov Decision Process,” in The 2013 Annual meeting of the American Educational Research Association, San Francisco, CA, USA, 2013.
[48]
G. J. Trevors et al., “Eye-Movement Patterns in Science Multimedia as a Function of Epistemic Beliefs and Learning Task Conditions,” in The 2013 Annual meeting of the American Educational Research Association, San Francisco, CA, USA, 2013.
[49]
J.-P. Sansonnet and F. Bouchet, “Managing personality influences in dialogical agents,” in Proceedings of the 5th International Conference on Agents and Artificial Intelligence (ICAART 2013), Barcelona, Spain, 2013, vol. 1, pp. 89–98.
[50]
J. M. Harley, M. Taub, F. Bouchet, and R. Azevedo, “A Framework to Understand the Nature of Co-Regulated Learning in Human-Pedagogical Agent Interactions,” in Proc. of the Fourth Workshop on Self-Regulated Learning in Educational Technologies, Chania, Greece, 2012.
[51]
R. Azevedo et al., “MetaTutor: An Intelligent Multi-Agent Tutoring System Designed to Detect, Track, Model, and Foster Self-Regulated Learning,” in Proc. of the Fourth Workshop on Self-Regulated Learning in Educational Technologies, Chania, Greece, 2012.
[52]
E. M. Miletto, M. S. Pimenta, F. Bouchet, J.-P. Sansonnet, and D. Keller, “Principles for Music Creation by Novices in Networked Music Environments,” JNMR, vol. 40, no. 3, pp. 205–216, Jul. 2011.
[53]
F. Bouchet and J.-P. Sansonnet, “Une approche facilitant la couverture et l’intelligibilité des influences des traits de personnalité sur le raisonnement rationnel des agents,” in SMA Systèmes Multi-agents JFSMA 12 - 20e Journées francophones sur les systèmes multi-agents, Honfleur, France, 2012, pp. 97–106.
[54]
F. Bouchet, J. S. Kinnebrew, G. Biswas, and R. Azevedo, “Identifying Students’ Characteristic Learning Behaviors in an Intelligent Tutoring System Fostering Self-Regulated Learning,” in Proceedings of the 5th International Conference on Educational Data Mining, Chania, Greece, 2012, pp. 65–72.
[55]
R. Azevedo et al., “Using trace data to examine the complex roles of cognitive, metacognitive, and emotional self-regulatory processes during learning with multi-agents systems,” in International Handbook of Metacognition and Learning Technologies, R. Azevedo and V. Aleven, Eds. New York: Springer, 2013, pp. 427–449.
[56]
F. Bouchet and J.-P. Sansonnet, “Influence of FFM/NEO PI-R personality traits on the rational process of autonomous agents,” WIAS, vol. 11, no. 3, pp. 203–220, Sep. 2013.
[57]
J. M. Harley, F. Bouchet, and R. Azevedo, “Measuring Learners’ Co-Occurring Emotional Responses during their Interaction with a Pedagogical Agent in MetaTutor,” in Intelligent Tutoring Systems, 11th International Conference, Chania, Greece, 2012, vol. 7315, pp. 40–45.
[58]
R. Azevedo et al., “The Effectiveness of Pedagogical Agents’ Prompting and Feedback in Facilitating Co-Adapted Learning with MetaTutor,” in Intelligent Tutoring Systems, 11th International Conference, Chania, Greece, 2012, vol. 7315, pp. 212–221.
[59]
J. M. Harley, F. Bouchet, and R. Azevedo, “Co-Occurring Emotions: Building an Understanding of Parallel-Emotional Processing and its Applications to Learning and Education with Intelligent Tutoring Systems,” in Annual Conference of the Education Graduate Students’ Society: (e)Merging Knowledges: Classroom, Community, Culture, Montreal, QC, Canada, 2012.
[60]
J. Ranellucci, E. Poitras, F. Bouchet, S. P. Lajoie, and R. Azevedo, “Using social networking to guide research on emotions in education,” in The 2012 Annual Conference of the Canadian Society for the Study of Education, Waterloo, ON, Canada, 2012.
[61]
J. M. Harley, F. Bouchet, and R. Azevedo, “Measuring learners’ unfolding, discrete emotional responses to different pedagogical agents scaffolding strategies,” in The 2012 Annual meeting of the American Educational Research Association, Vancouver, BC, Canada, 2012.
[62]
R. Azevedo, J. M. Harley, R. Feyzi-Behnagh, and F. Bouchet, “Using on-line measures to understand self-regulated learning with advanced learning technologies,” in Symposium on Integrating Different Approaches to Investigating Self-Regulated Learning at the 2012 Annual meeting of the American Educational Research Association, Vancouver, BC, Canada, 2012.
[63]
R. Azevedo et al., “Measuring self-regulated learning with a multi-agent hypermedia environment,” in Symposium on Measuring Self-Regulated Learning with Multi-Agent Learning Environments at the 2012 Annual meeting of the American Educational Research Association, Vancouver, BC, Canada, 2012.
[64]
R. Azevedo, R. Feyzi-Behnagh, J. M. Harley, F. Bouchet, and M. Taub, “Externally-Regulated Learning between Human and Artificial Pedagogical Agents in the Context of a Multi-Agent Adaptive Hypermedia Environment,” in Symposium on Innovations in Researching Regulation of Learning in Solo and Collaborative Tasks at the 2012 Annual meeting of the American Educational Research Association, Vancouver, BC, Canada, 2012.
[65]
R. Azevedo, F. Bouchet, R. Feyzi-Behnagh, J. M. Harley, M. Duffy, and G. J. Trevors, “MetaTutor as an innovative technology environment to assess students’ self-regulatory processes,” in Symposium on Knowing What Students Know and Feel: Innovative Technology Rich Assessments at the 2012 Annual meeting of the American Educational Research Association, Vancouver, BC, Canada, 2012.
[66]
F. Bouchet and J.-P. Sansonnet, “Intelligent Agents with Personality: from Adjectives to Behavioral Schemes,” in Cognitively Informed Interfaces: System Design and Development, E. M. Alkhalifa and K. Gaid, Eds. Hershey, PA: IGI Global, 2012, pp. 177–200.
[67]
F. Bouchet, J. M. Harley, G. J. Trevors, and R. Azevedo, “Clustering and Profiling Students According to their Interactions with an Intelligent Tutoring System Fostering Self-Regulated Learning,” JEDM, vol. 5, no. 1, pp. 104–146, May 2013.
[68]
F. Bouchet and J.-P. Sansonnet, “Agents Conversationnels Psychologiques : Un cadre d’étude des comportements rationnels et psychologiques des agents assistants conversationnels,” RIA, vol. 25, no. 5, pp. 591–623, Sep. 2011.
[69]
F. Bouchet and J.-P. Sansonnet, “Traits de Personnalité Computationnels: Enrichissement de la taxonomie FFM/NEO PI-R avec des gloses WordNet liées à des adjectifs de personnalité,” TSI, vol. 31, no. 4, pp. 423–453, Apr. 2012.
[70]
F. Bouchet and J.-P. Sansonnet, “Implementing WordNet Personality Adjectives as Influences on Rational Agents,” IJCISIM, vol. 3, no. 1, pp. 696–705, Jun. 2011.
[71]
J.-P. Sansonnet and F. Bouchet, “Integrating Psychological Behaviors in the Rational Process of Conversational Assistant Agents,” in Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference (FLAIRS 2011), Palm Beach, FL, USA, 2011, pp. 440–445.
[72]
F. Bouchet and J.-P. Sansonnet, “Influence of Personality Traits on the Rational Process of Cognitive Agents,” in 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, Lyon, France, 2011, pp. 81–88.
[73]
J. M. Harley, F. Bouchet, and R. Azevedo, “Examining Learners’ Emotional Responses to Virtual Pedagogical Agents’ Tutoring Strategies,” in Intelligent Virtual Agents, 11th International Conference, Reykjavik, Iceland, 2011, vol. 6895, pp. 449–450.
[74]
J.-P. Sansonnet, F. Bouchet, and W. Turner, “Personification of Topics with Conversational Agents,” in Proc. of Interfaces and Human-Computer Interaction 2011, Rome, Italy, 2011.
[75]
J.-P. Sansonnet and F. Bouchet, “Personnification d’Entités par Agents Conversationnels,” in Actes des Sixièmes Journées Francophones Modèles Formels de l’Interaction (MFI'11), Rouen, France, 2011, pp. 139–150.
[76]
J.-P. Sansonnet and F. Bouchet, “Extraction of Agent Psychological Behaviors from Glosses of WordNet Personality Adjectives,” in Proc. of the 8th European Workshop on Multi-Agent Systems (EUMAS’10), Paris, France, 2010.
[77]
F. Bouchet and J.-P. Sansonnet, “Classification of Wordnet Personality Adjectives in the NEO PI-R Taxonomy,” in Actes du Quatrième Workshop sur les Agents Conversationnels Animés (WACA 2010), Lille, France, 2010, pp. 83–90.
[78]
J.-P. Sansonnet and F. Bouchet, “Expression of behaviors in Assistant Agents as influences on rational execution of plans,” in Intelligent Virtual Agents, 10th International Conference, Philadelphia, PA, USA, 2010, vol. 6356, pp. 413–419.
[79]
F. Bouchet and J.-P. Sansonnet, “Implementing personality adjectives as behavioral schemes,” in Proc. of Interfaces and Human-Computer Interaction 2010, Freiburg, Germany, 2010, pp. 338–342.
[80]
F. Bouchet and J.-P. Sansonnet, “Un cadre de modélisation des relations entre les réactions rationnelles et comportementales des agents assistants conversationnels,” in SMA Systèmes Multi-agents JFSMA 10 - 18e Journées francophones sur les systèmes multi-agents, Mahdia, Tunisia, 2010, pp. 97–106.
[81]
F. Bouchet, “Conception d’une chaîne de traitement de la langue naturelle pour un agent conversationnel assistant,” Ph.D. thesis, Université Paris-Sud 11, Orsay, France, 2010.
[82]
M. Xuetao, J.-P. Sansonnet, and F. Bouchet, “Définition d’un agent conversationnel assistant d’applications Internet à partir d’un corpus de requêtes,” TSI, vol. 29, no. 10, pp. 1123–1154, Nov. 2010.
[83]
J.-P. Sansonnet and F. Bouchet, “Joint handling of Rational and Behavioral reactions in Assistant Conversational Agents,” in Proc. of the 19th European Conference on Artificial Intelligence (ECAI 2010), Lisbon, Portugal, 2010, pp. 1049–1050.
[84]
M. S. Pimenta, E. M. Miletto, J.-P. Sansonnet, and F. Bouchet, “Social Music Making on the Web with CODES,” in Proceedings of the 2010 ACM Symposium on Applied Computing, Sierre, Switzerland, 2010, pp. 876–877.
[85]
F. Bouchet and J.-P. Sansonnet, “A framework for modeling the relationships between the rational and behavioral reactions of assisting conversational agents,” in Proc. of the 7th European Workshop on Multi-Agent Systems (EUMAS’09), Agia Napa, Cyprus, 2009.
[86]
J.-P. Sansonnet, E. M. Miletto, F. Bouchet, and M. S. Pimenta, “Exploring the integration of teaching capabilities into a CSCP framework through help agents,” in Proc. of the 20th Brazilian Symposium of Computer Science in Education (SBIE 2009), Florianópolis, SC, Brazil, 2009.
[87]
E. M. Miletto, M. S. Pimenta, F. Bouchet, J.-P. Sansonnet, and D. Keller, “Music Creation by Novices should be both Prototypical and Cooperative - Lessons Learned from CODES,” in Proc. of the 12th Brazilian Symposium on Computer Music (SBCM), Recife, PE, Brazil, 2009.
[88]
F. Bouchet and J.-P. Sansonnet, “Subjectivity and Cognitive Biases Modeling for a Realistic and Efficient Assisting Conversational Agent,” in 2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, Milan, Italy, 2009, vol. 2, pp. 209–216.
[89]
E. M. Miletto, J.-P. Sansonnet, M. S. Pimenta, and F. Bouchet, “Corpus-based design of a Web 2.0 Assisting Agent,” in Proc. of the 8th International Workshop on Web-Oriented Software Technologies (IWWOST’2009), San Sebastian, Spain, 2009, vol. 493, pp. 52–63.
[90]
F. Bouchet, “Characterization of Conversational Activities in a Corpus of Assistance Requests,” in Proc. of the 14th Student Session of the European Summer School for Logic, Language, and Information (ESSLLI), Bordeaux, France, 2009, pp. 40–50.
[91]
M. Xuetao, J.-P. Sansonnet, and F. Bouchet, “Intelligent Assisting Conversational Agents viewed through Novice Users’ Requests,” in Proc. of Interfaces and Human-Computer Interaction 2009, Algarve, Portugal, 2009, pp. 37–44.
[92]
M. Xuetao, F. Bouchet, and J.-P. Sansonnet, “An ACA-based Semantic Space for Processing Domain Knowledge in the Assistance Context,” in Proc. of the 3rd International Conference on New Trends in Information and Service Science (NISS 2009), Beijing, China, 2009, pp. 344–349.
[93]
F. Bouchet and J.-P. Sansonnet, “Tree-kernel and Feature Vector Methods for Formal Semantic Requests Classification,” in Machine Learning and Data Mining in Pattern Recognition, Leipzig, Germany, 2009, pp. 126–140.
[94]
F. Bouchet and J.-P. Sansonnet, “Apports Complémentaires de la Subjectivité et des Biais Cognitifs à la Rationalité dans le Contexte de la Fonction d’Assistance,” in Actes des Cinquièmes Journées Francophones Modèles Formels de l’Interaction (MFI'09), Lannion, France, 2009, pp. 69–80.
[95]
F. Bouchet, “Caractérisation d’un Corpus de Requêtes d’Assistance,” in Actes de la 11e Rencontre des Etudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RECITAL 2007), Toulouse, France, 2007, vol. 2, pp. 357–366.
[96]
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