Abstract
Exploiting a social intelligent agent (robot) for the embodiment of communication and interaction in a social and engaging manner is more exceptionally challenging than developing the basic capabilities of embedded robots (moving and acting). A robot should mainly have the capability of executing its communication capabilities within a social manner that is sufficient for establishing interaction with humans. The field of social robotics is mainly concerned with exploring desirable conventions embedded in social robots, which must contemplate and incorporate non-verbal communication. As such, we are developing a social robot (Talking-Ally) that is capable of liking the state of the person (addressee) through an utterance-generation mechanism (addressivity) that refers to the hearer’s resources (hearership) in order to persuade the user through dynamic interactions.
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Bakhtin, M.: The problem of speech genres, pp. 60–102. University of Texas Press, Austin (1986)
Chidambaram, V., Chiang, Y.-H., Mutlu, B.: Designing persuasive robots: how robots might persuade people using vocal and nonverbal cues. In: HRI, pp. 293–300 (2012)
D’Mello, S., McCauley, L., Markham, J.: A mechanism for human - robot interaction through informal voice commands. In: IEEE International Workshop on Robot and Human Interactive Communication, ROMAN 2005, pp. 184–189 (August 2005)
Fogg, B.: Persuasive computers: perspectives and research directions. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 1998, pp. 225–232 (1998)
Ford, C.E., Thompson, S.A.: Interactional units in conversation: Syntactic, intonational, and pragmatic resources for the management of turns (1996)
Gibbs, R.W.: Embodiment and Cognitive Science. Cambridge University Press (2005)
Goodwin, C.: Embodied hearers and speakers constructing talk and action in interaction, vol. 16(1), pp. 51–64. Wadsworth, Belmont (2009)
Ham, J., Bokhorst, R., Cuijpers, R.H., van der Pol, D., Cabibihan, J.-J.: Making robots persuasive: The influence of combining persuasive strategies (gazing and gestures) by a storytelling robot on its persuasive power. In: ICSR, pp. 71–83 (2011)
Ham, J., Midden, C.: Ambient persuasive technology needs little cognitive effort: The differential effects of cognitive load on lighting feedback versus factual feedback. In: Ploug, T., Hasle, P., Oinas-Kukkonen, H. (eds.) PERSUASIVE 2010. LNCS, vol. 6137, pp. 132–142. Springer, Heidelberg (2010)
Looije, R., Neerincx, M.A., Cnossen, F.: Persuasive robotic assistant for health self-management of older adults: Design and evaluation of social behaviors. International Journal of Human-Computer Studies 68(6), 386–397 (2010)
Lutz, R., Swasy, J.L.: Integrating Cognitive Structure And Cognitive Response Approaches To Monitoring Communications Effects. Association for Consumer Research (1977)
Mehrabian, A., Williams, M.: Nonverbal concomitants of perceived and intended persuasiveness. Journal of Personality and Social Psychology 13(1), 37–58 (1969)
Okada, M.: Why doesn’t the computer speak with hesitation. Kyoritsu Shuppan, Tokyo (1995)
Okada, M., Kurihara, S., Nakatsu, R.: Incremental elaboration in generating and interpreting spontaneous speech. In: Proc. of 3rd International Conference on Spoken Language Processing, pp. 103–106 (1994)
Roubroeks, M.A.J., Ham, J., Midden, C.J.H.: When artificial social agents try to persuade people: The role of social agency on the occurrence of psychological reactance. I. J. Social Robotics 3(2), 155–165 (2011)
Siegel, M., Breazeal, C., Norton, M.I.: Persuasive robotics: The influence of robot gender on human behavior. In: IROS, pp. 2563–2568 (2009)
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Odahara, Y., Ohshima, N., De Silva, P.R.S., Okada, M. (2013). Talking Ally: Toward Persuasive Communication in Everyday Life. In: Stephanidis, C., Antona, M. (eds) Universal Access in Human-Computer Interaction. User and Context Diversity. UAHCI 2013. Lecture Notes in Computer Science, vol 8010. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39191-0_44
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