T. Bickmore and J. Cassell, Relational agents, Proceedings of the SIGCHI conference on Human factors in computing systems , CHI '01, pp.396-403, 2001.
DOI : 10.1145/365024.365304

T. Bickmore, L. Pfeifer, and D. Schulman, Relational Agents Improve Engagement and Learning in Science Museum Visitors, pp.55-67, 2011.
DOI : 10.1007/978-3-642-23974-8_7

T. W. Bickmore, L. M. Pfeifer, and B. W. Jack, Taking the time to care, Proceedings of the 27th international conference on Human factors in computing systems, CHI 09, pp.1265-1274, 2009.
DOI : 10.1145/1518701.1518891

W. T. Bickmore, D. Utami, R. Matsuyama, and K. M. Paasche-orlow, Improving Access to Online Health Information With Conversational Agents: A Randomized Controlled Experiment, Journal of Medical Internet Research, vol.25, issue.6, p.1, 2016.
DOI : 10.1038/gim.2014.198

D. M. Blei, A. Y. Ng, and M. I. Jordan, Latent dirichlet allocation, Journal of machine Learning research, vol.3, pp.993-1022, 2003.

J. Cassell, Embodied conversational interface agents, Communications of the ACM, vol.43, issue.4, pp.70-78, 2000.
DOI : 10.1145/332051.332075

Z. Ji, Z. Lu, and H. Li, An information retrieval approach to short text conversation. arXiv preprint arXiv:1408, p.6988, 2014.

Y. Kim, Convolutional Neural Networks for Sentence Classification, Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp.1746-1751, 2014.
DOI : 10.3115/v1/D14-1181

J. Kiseleva, K. Williams, J. Jiang, H. Awadallah, A. Crook et al., Understanding User Satisfaction with Intelligent Assistants, Proceedings of the 2016 ACM on Conference on Human Information Interaction and Retrieval, CHIIR '16, pp.121-130, 2016.
DOI : 10.1108/EUM0000000007145

J. Lave and E. Wenger, Situated Learning. Legitimate Peripheral Participation, 1991.

Q. V. Liao, M. Davis, W. Geyer, M. Muller, and N. S. Shami, What Can You Do?, Proceedings of the 2016 ACM Conference on Designing Interactive Systems, DIS '16, pp.264-275, 2016.
DOI : 10.1145/325737.325872

D. Metzler and W. B. Croft, A Markov random field model for term dependencies, Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval, SIGIR '05, pp.472-479, 2005.
DOI : 10.1145/1076034.1076115

V. D. Miller and F. M. Jablin, INFORMATION SEEKING DURING ORGANIZATIONAL ENTRY: INFLUENCES, TACTICS, AND A MODEL OF THE PROCESS, Academy of Management Review, vol.16, issue.1, pp.92-120, 1991.
DOI : 10.5465/AMR.1991.4278997

M. D. Pickard, M. B. Burns, and K. C. Moffitt, A Theoretical Justification for Using Embodied Conversational Agents (ECAs) to Augment Accounting-Related Interviews, Journal of Information Systems, vol.27, issue.2, pp.159-176, 2013.
DOI : 10.1145/1081992.1081997

A. Ritter, C. Cherry, and W. B. Dolan, Data-driven response generation in social media, Proceedings of the Conference on Empirical Methods in Natural Language Processing, pp.583-593, 2011.

L. Shang, Z. Lu, and H. Li, Neural Responding Machine for Short-Text Conversation, Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pp.1577-1586, 2015.
DOI : 10.3115/v1/P15-1152

URL : http://arxiv.org/pdf/1503.02364

N. Shechtman and L. M. Horowitz, Media inequality in conversation, Proceedings of the conference on Human factors in computing systems , CHI '03, pp.281-288, 2003.
DOI : 10.1145/642611.642661

A. Silvervarg and A. Jönsson, Subjective and objective evaluation of conversational agents in learning environments for young teenagers, Proceedings of the 7th IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue Systems, 2011.

A. Silvervarg and A. Jã?-unsson, A.: Subjective and objective evaluation of conversational agents in learning environments for young teenagers, In: 7th IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue Systems, 2011.

T. Strohman, D. Metzler, H. Turtle, and W. B. Croft, Indri: A language model-based search engine for complex queries, Proceedings of the International Conference on Intelligent Analysis, pp.2-6, 2005.

S. Tegos and S. Demetriadis, Conversational agents improve peer learning through building on prior knowledge, Journal of Educational Technology & Society, vol.20, issue.1, pp.99-111, 2017.

R. Trappl, Your Virtual Butler, 2013.
DOI : 10.1007/978-3-642-37346-6

D. Traum, D. Devault, J. Lee, Z. Wang, and S. Marsella, Incremental Dialogue Understanding and Feedback for Multiparty, Multimodal Conversation, International Conference on Intelligent Virtual Agents, pp.275-288, 2012.
DOI : 10.1007/978-3-642-33197-8_29

A. M. Turing, Computing machinery and intelligence, Mind, vol.59, issue.236, pp.433-460, 1950.
DOI : 10.1007/978-1-4020-6710-5_3

O. Vinyals and Q. Le, A neural conversational model. arXiv preprint, 2015.

M. A. Walker, D. J. Litman, C. A. Kamm, and A. Abella, Paradise: A framework for evaluating spoken dialogue agents, Proceedings of the eighth conference on European chapter of the Association for Computational Linguistics, pp.271-280, 1997.

Z. Wang, J. Lee, and S. Marsella, Towards More Comprehensive Listening Behavior: Beyond the Bobble Head, International Workshop on Intelligent Virtual Agents, pp.216-227, 2011.
DOI : 10.1007/978-3-642-23974-8_24

J. Williams, A. Raux, D. Ramachandran, and A. Black, The dialog state tracking challenge, Proceedings of the SIGDIAL 2013 Conference, pp.404-413, 2013.

J. Xiao, J. Stasko, and R. Catrambone, An empirical study of the effect of agent competence on user performance and perception critical steps to maximize chatbot reten- tion & engagement, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, pp.178-185, 2004.