W. Boisseleau, O. Serban, and A. Pauchet, Building a narrative conversational agent using a component-based architecture, Proc. of the 2014 International Conference on Autonomous Agents and Multi-agent Systems, ser. AAMAS '14. Richland, SC: International Foundation for Autonomous Agents and Multiagent Systems, pp.1653-1654, 2014.

P. B. De-byl, An online assistant for remote, distributed critiquing of electronically submitted assessment, Educational Technology & Society, vol.7, pp.29-41, 2004.

J. Broekens, M. Heerink, and H. , Assistive social robots in elderly care: a review, Gerontechnology, vol.8, issue.2, 2009.
DOI : 10.4017/gt.2009.08.02.002.00

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

N. Ward and D. Devault, Ten challenges in highlyinteractive dialog system, AAAI Spring Symposium Series, 2015.

W. Swartout, J. Gratch, R. W. Hill, E. Hovy, S. Marsella et al., Toward virtual humans, pp.96-108, 2006.
DOI : 10.21236/ADA461202

C. Pelachaud, Modelling multimodal expression of emotion in a virtual agent, Philosophical Transactions of the Royal Society B: Biological Sciences, vol.28, issue.1, pp.3539-3548, 2009.
DOI : 10.1353/lan.1991.0098

URL : https://hal.archives-ouvertes.fr/hal-00457448

S. Kopp and I. Wachsmuth, Synthesizing multimodal utterances for conversational agents, Computer Animation and Virtual Worlds, vol.15, issue.1, pp.39-52, 2004.
DOI : 10.1002/cav.6

URL : http://www.techfak.uni-bielefeld.de/~skopp/download/JCAVW.pdf

M. Schröder, The SEMAINE API: Towards a Standards-Based Framework for Building Emotion-Oriented Systems, Advances in Human-Computer Interaction, vol.11, issue.18, 2010.
DOI : 10.1007/s10579-007-9040-x

H. Bunt, Multifunctionality in dialogue, Computer Speech & Language, vol.25, issue.2, pp.222-245, 2011.
DOI : 10.1016/j.csl.2010.04.006

URL : https://hal.archives-ouvertes.fr/hal-00692189

S. Varges, S. Quarteroni, G. Riccardi, A. V. Ivanov, and P. Roberti, Leveraging pomdps trained with user simulations and rule-based dialogue management in a spoken dialogue system The Association for Computer Linguistics, Proc. of the 10th SIGDIAL Conference, pp.156-159, 2009.

D. Griol, F. Torres, L. F. Hurtado, E. Sanchis, and E. Segarra, Different approaches to the dialogue management in the dihana project, 10th Speech and Computer Conference(SPECOM), pp.203-206, 2005.

D. Griol, L. F. Hurtado, E. Segarra, and E. Sanchis, A statistical approach to spoken dialog systems design and evaluation, Speech Communication, vol.50, issue.8-9, pp.666-682, 2008.
DOI : 10.1016/j.specom.2008.04.001

URL : https://hal.archives-ouvertes.fr/hal-00499213

L. Deng, J. Li, J. Huang, K. Yao, D. Yu et al., Recent advances in deep learning for speech research at Microsoft, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.8604-8608, 2013.
DOI : 10.1109/ICASSP.2013.6639345

URL : http://research.microsoft.com/pubs/188864/ICASSP-2013-OverviewMSRDeepLearning.pdf

P. Su, D. Vandyke, M. Gasic, D. Kim, N. Mrksic et al., Learning from real users: Rating dialogue success with neural networks for reinforcement learning in spoken dialogue systems, 2015.

T. Zhao, A. W. Black, and M. Eskenazi, An Incremental Turn-Taking Model with Active System Barge-in for Spoken Dialog Systems, Proceedings of the 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue, pp.42-50, 2015.
DOI : 10.18653/v1/W15-4606

D. Litman and K. Forbes-riley, Spoken tutorial dialogue and the feeling of another's knowing, Proceedings of the SIGDIAL 2009 Conference on The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue, SIGDIAL '09, pp.286-289, 2009.
DOI : 10.3115/1708376.1708416

A. Pauchet, F. Rioult, Z. Chanoni, O. Ales, and . Serban, Interactive narration requires interaction and emotion, ICAART, pp.527-530, 2013.
URL : https://hal.archives-ouvertes.fr/hal-01024388

H. Bunt, The dit++ taxonomy for functional dialogue markup, AAMAS 2009 Workshop, Towards a Standard Markup Language for Embodied Dialogue Acts, pp.13-24, 2009.

J. Liscombe, J. B. Hirschberg, and J. J. Venditti, Detecting certainness in spoken tutorial dialogues, Proc. of Interspeech, 2005.

E. Ukkonen, Maximal and minimal representations of gapped and non-gapped motifs of a string, Theoretical Computer Science, vol.410, issue.43, pp.4341-4349, 2009.
DOI : 10.1016/j.tcs.2009.07.015

R. Brixtel, Maximal repeats enhance substring-based authorship attribution, Recent Advances in Natural Language Processing, pp.63-71, 2015.

F. Salfner, M. Lenk, and M. Malek, A survey of online failure prediction methods, ACM Computing Surveys, vol.42, issue.3, pp.1-42, 2010.
DOI : 10.1145/1670679.1670680