Children's adaptation in multi-session interaction with a humanoid robot

Proceedings - IEEE International Workshop on Robot and Human Interactive Communication

Volumn , Issue , 2012, Pages 351-357

  Nalin, Marco ^a   Baroni, Ilaria ^a   Kruijff Korbayova, Ivana ^b   Canamero, Lola ^c   Lewis, Matthew ^c   Beck, Aryel ^c   Cuayahuitl, Heriberto ^b   Sanna, Alberto ^a  

^a SAN RAFFAELE HOSPITAL   (Italy)

^b GERMAN RESEARCH CENTER FOR ARTIFICIAL INTELLIGENCE DFKI   (Germany)

^c UNIVERSITY OF HERTFORDSHIRE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

HUMANOID ROBOT; INPUT FORMULATION; MULTIPLE INTERACTIONS; PRELIMINARY ANALYSIS;

COMMUNICATION;

ANTHROPOMORPHIC ROBOTS;

EID: 84870799283     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROMAN.2012.6343778     Document Type: Conference Paper

References (35)

1. J. Baillie. Urbi: Towards a universal robotic low-level programming language. In 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 3219-3224. IEEE, 2005.
2. L. Bell, J. Gustafson, and M. Heldner. Prosodic adaptation in humancomputer interaction. In Proceedings of ICPhS, pages 833-836, 2003.
3. M. Bennewitz, F. Faber, D. Joho, M. Schreiber, and S. Behnke. Integrating vision and speech for conversations with multiple persons. In IEEE/RSJ IROS, pages 2523-2528, Aug 2005.
4. A. J. Blanchard and L. Cañamero. From imprinting to adaptation: Building a history of affective interaction. In Proc. of the 5th Intl. Wksp. on Epigenetic Robotics, pages 23-30, 2005.
5. H. Branigan, M. Pickering, J. Pearson, J. F. McLean, and C. Nass. Syntactic alignment between computer and people: the role of belief about mental states. In Proceedings of the Annual Conference of the Cognitive Science Society, 2003.
6. S. Brennan. Lexical entrainment in spontaneous dialogue. In Proceedings of the International Symposium on Spoken Dialogue (ISSD-96), pages 41-44, 1996.
7. S. Brennan and J. Ohaeri. Effects of message style on user's attribution toward agents. In Proceedings of CHI'94 Conference Companion Human Factors in Computing Systems, pages 281-282. ACM Press, 1994.
8. J. K. Burgoon, L. A. Stern, and L. Dillman. Interpersonal Adaptation: Dyadic Interaction Patterns. Cambridge Univ. Press, 1995.
9. L. Cañamero and J. Fredslund. I show you how I like you-can you read it in my face? [robotics]. IEEE Transactions on Systems, Man, and Cybernetics, Part A, 31(5):454-459, 2001.
10. H. Cuayáhuitl. Learning dialogue agents with Bayesian relational state representations. In Proceedings of the IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue Systems (IJCAIKRPDS), Barcelona, Spain, pages 9-15, Jul 2011.
11. H. Cuayáhuitl and I. Kruijff-Korbayová. An interactive humanoid robot exhibiting flexible sub-dialogues. In Proceedings of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), Montreal, Canada, pages 17-20, Jun 2012.
12. H. Cuayhuitl, S. Renals, O. Lemon, and H. Shimodaira. Evaluation of a hierarchical reinforcement learning spoken dialogue system. Computer Speech and Language, 24(2):395-429, 2010.
13. M. Davies. Movement and Dance in Early Childhood. SAGE Publications Ltd, Cambridge, 2003.
14. A. Dubey, F. Keller, and P. Sturt. A probabilistic corpus-based model of syntactic parallelism. Cognition, 109(3):326-344, Dec. 2008.
15. V. S. Ferreira and K. Bock. The functions of structural priming. Language and Cognitive Processes, 21(7):1011-1029, 2006.
16. E. Z. Ford. How to get people to say and type what computers can understand. Int. J. Man-Mach. Stud., 34(4):527-547, Apr. 1991.
17. S. Garrod and M. Pickering. Why is conversation so easy? TRENDS in Cognitive Sciences, 8, 2004.
18. H. Giles, A. Mulac, J. J. Bradac, and P. Johnson. Speech accommodation theory: The first decade and beyond. In M. L. McLaughlin, editor, Communication Yearbook 10, pages 13-48. SAGE Publications, 1987.
19. H. Giles and T. Ogay. Communication accommodation theory. In B. B. Whaley and W. Samter, editors, Explaining Communication: Contemporary Theories and Exemplars. Lawrence Erlbaum, 2007.
20. K. Hadelich, H. Branigan, M. Pickering, and M. Crocker. Alignment in dialogue: Effects of feedback on lexical overlap within and between participants. In Proceedings of the AMLaP Conference. Aix en Provence, France, 2004.
21. A. Hiolle, L. Cañamero, P. Andry, A. Blanchard, and P. Gaussier. Using the interaction rhythm as a natural reinforcement signal for social robots: a matter of belief. In Proceedings of the Second international conference on Social robotics, ICSR'10, pages 81-89, Berlin, Heidelberg, 2010. Springer-Verlag.
22. J. L. Lakin, V. E. Jefferis, C. M. Cheng, and T. L. Chartrand. The chameleon effect as social glue: Evidence for the evolutionary significance of nonconscious mimicry. Journal of Nonverbal Behavior, 27:145-162, 2003. 10.1023/A:1025389814290.
23. O. Lemon and O. Pietquin. Machine learning for spoken dialogue systems. In INTERSPEECH, pages 2685-2688, 2007.
24. W. Levelt and S. Kelter. Surface form and memory in question answering. Cognitive Psychology, 14:78-106, 1982.
25. C. Nass and S. Brave. Should voice interfaces say "I"? Recorded and synthetic voice interfaces' claims to humanity, chapter 10, pages 113-124. The MIT Press, Cambridge, 2005.
26. S. Oviatt, C. Darves, and R. Coulston. Toward adaptive conversational interfaces: Modeling speech convergence with animated personas. ACM Trans. Comput.-Hum. Interact., 11(3):300-328, Sept. 2004.
27. G. Parent and M. Eskenazi. Lexical entrainment of real users in the Let's Go spoken dialog system. In Proceedings of the InterSpeech Conference, 2010.
28. J. Pearson, J. Hu, H. Branigan, M. J. Pickering, and C. I. Nass. Adaptive language behavior in HCI: how expectations and beliefs about a system affect users' word choice. In CHI '06: Proceedings of the SIGCHI conference on Human Factors in computing systems, pages 1177-1180, New York, NY, USA, 2006. ACM.
29. R. L. Rapson, E. Hatfield, and J. T. Cacioppo. Emotional Contagion. Cambridge University Press, 1994.
30. D. Reitter, F. Keller, and J. D. Moore. A computational cognitive model of syntactic priming. Cognitive Science, 35(4):587-637, 2011.
31. M. J. Richardson, K. L. Marsh, and R. C. Schmidt. Effects of visual and verbal interaction on unintentional interpersonal coordination. Journal of Experimental Psychology: Human Perception and Performance, pages 62-79, 2005.
32. M. Simon, P. Canet, R. Soussignan, P. Gaussier, L. Cañamero, and J. Nadel. Reconnaissance et résonance émotionnelle face à un humain et à un robot chez des enfants typiques et des enfants avec autisme de haut niveau. Bulletin Scientifique de l'ARAPI, 2008.
33. R. Stiefelhagen, H. Ekenel, C. Fugen, P. Gieselmann, H. Holzapfel, F. Kraft, K. Nickel, M. Voit, and A. Waibel. Enabling multimodal human-robot interaction for the Karlsruhe humanoid robot. IEEE Transactions on Robotics: Special issue on human-robot interaction, 23(85):840-851, 2007.
34. S. Stoyanchev and A. Stent. Concept form adaptation in humancomputer dialog. In Proceedings of the SIGDial Conference, 2009.
35. S. Stoyanchev and A. Stent. Lexical and syntactic priming and their impact in deployed spoken dialog systems. In Proceedings of the Meeting of the North American Chapter of the Association for Computational Linguistics (NAACL),, pages 189-192, Boulder, Colorado, Jun 2009.