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This paper presents an evaluation of a decision model for adaptive and evolutive body interaction between a human and a virtual agent. The theoretical bases, the aliveness metaphor and the notion of coupling, are presented and the model is briefly described. We illustrate and discuss an experiment we conducted to evaluate the model applied to the context of a fitness exergame. The results of the experiment show that our model can generate, for virtual agents, an adaptive body behavior comparable to that a human would perform in context where the user has to pay attention to the agent. This adaptive behavior improves the perception of the agent in terms of co-presence and game experience. but not in terms of believability.
human-agent body interaction, coupling, decision model
Ce travail a été financé par le projet ANR INGREDIBLE : ANR-12-CORD-001 (http:/ /www.ingredible.fr).
Bailenson J., Guadagno R., Aharoni E., Dimov A., Beall A., Blascovich J. (2004). Comparing behavioral and self-report measures of embodied agents: Social presence in immersive virtual environments. In 7th Annual International Workshop on Precence, p. 216–223.
Bailenson J., Swinth K., Hoyt C. (2005). Independent and interactive effects of embodied-agent appearance and behavior on self-report, cognitive, and behavioral markers of copresence in immersive virtual. Presence: Teleoperators and Virtual Environments, vol. 14, no 4, p. 379–393.
Bevacqua E., de Sevin E., Hyniewska S., Pelachanud C. (2012). A listener model: introducing personality traits. Journal of Multimodal User Interfaces, special issue Interacting ECAs, vol. 6, no 1, p. 27–38.
Bevacqua E., Richard R., Soler J., De Loor P. (2016, July). INGREDIBLE : A platform for full body interaction between human and virtual agent that improves co-presence. In Proceedings of the 3rd International Symposium on Movement and Computing.
Bevacqua E., Stankovi´c I., Maatallaoui A., Nédélec A., De Loor P. (2014). Effects of coupling in human-virtual agent body interaction. In 14th international conference on intelligent virtual agents, p. 54–63.
Bossard C., Bénard R., De Loor P., Kermarrec G., Tisseau J. (2009). An exploratory evaluation of virtual football player’s believability. In Proceedings of 11th virtual reality international conference (vric’09).
Buche C., Septseault C., De Loor P. (2006). Proposition d’un modèle générique pour l’implémentation d’une famille de systèmes de classeurs. Revue des Sciences et Technologies de l’Information, série Intelligence Artificielle (RSTI–RIA), vol. 20, no 1, p. 63–88.
De Loor P., Manac’h K., Tisseau J. (2009). Enaction-Based Artificial Intelligence: Toward Co-evolution with Humans in the Loop. Minds and Machines, vol. 19, no 3, p. 319–343.
De Loor P., Richard R., Soler J., Bevacqua E. (2016, May). Aliveness metaphor for an evolutive gesture interaction based on coupling between a human and a virtual agent. In Proceedings of the 29th International Conference of Computer Animation and Social Agents.
Demeure V., Niewiadomski R., Pelachaud C. (2012). How is believability of a virtual agent related to warmth, competence, personification, and embodiment? Presence, vol. 20, no 5, p. 431–448.
Fogel A., Garvey A. (2007). Alive communication. Infant Behav Dev, vol. 30, no 2, p. 251–7.
Gratch J., Hartholt A., Dehghani M., Marsella S. (2013). Virtual Humans: A New Toolkit for Cognitive Science Research. In Cognitive Science. Groom V., Nass C., Chen T., Nielsen A., Scarborough J., Robles E. (2009). Evaluating the effects of behavioral realism in embodied agents. International Journal of Human-Computer Studies, vol. 67, no 10, p. 842–849.
Heeter C. (1992). Being there: the subjective experience of presence. Teleoperators and Virtual Environments, vol. 1, no 2, p. 262–271.
Jost C., De Loor P., Nédélec A., Bevacqua E., Stankovi´c I. (2015). Real-time gesture recognition based on motion quality analysis. In 7th international conference on intelligent technologies for interactive entertainment, p. 47–56.
Kopp S. (2010). Social Resonance and Embodied Coordination in Face-to-Face Conversation with Artificial Interlocutors. Speech Communication, vol. 52, no 6, p. 587–597.
Nagayama R. (2007). The Uncanny Valley: Effect of Realism on the Impression of Artificial Human Faces. Presence Teleoperators & Virtual Environments, vol. 16, no 4, p. 337–351.
Pugliese R., Förger K., Takala T. (2015). Game Experience When Controlling aWeak Avatar in Full-Body Enaction. In 15th international conference on intelligent virtual agents, p. 418-431.
Schuemie M., van der Straaten P., Krijn M., van der Mast C. (2001). Research on presence in virtual reality: a survey. Cyberpsychology & behavior : the impact of the Internet, multimedia and virtual reality on behavior and society, vol. 4, no 2, p. 183–201.
Stewart J. (2008). An enquiry concerning the nature of conceptual categories: a case-study on the social dimension of human cognition. Front Psychol., vol. 654, no 5, p. 1–13.
Truong A., Boujut H., Zaharia T. (2015). Laban descriptors for gesture recognition and emotional analysis. The Visual Computer.
van Vugt H., Hoorn J., Konijn E. (2009). Interactive engagement with embodied agents: an empirically validated framework. Sp. Iss. Computer Animation and Virtual Worlds, vol. 20, no 2–3, p. 195–204.
Wong J. W.-E., McGee K. (2012). Frown more, talk more: Effects of facial expressions in establishing conversational rapport with virtual agents. In 12th international conference on intelligent virtual agents, vol. 7502, p. 419–425.
Yin Y., Davis R. (2014). Real-time continuous gesture recognition for natural Human-Computer Interaction. In 2014 IEEE Synposium on Visual Languages and Human-Centric Computing, p. 113–120.