Abstract
This chapter proposes a new conceptual framework for visualizing conversational interactions to build a common ground for productive human-robot interaction. We address conversation envisioning as a process of building and maintaining common ground by incorporating new information into the shared information structure. We discuss how we can build a common ground for human robot interaction by using a synthetic evidential study (SES) as an underlying methodology. We review the main ideas in SES, which integrates role playing game, agent play, and in-situ group discussion to uncover tacit thoughts and interaction of participants. We then introduce the idea of conversation envisioning in which we employ virtual reality for graphic recording (VRGR) to extend the framework of SES so that both observers and participants can visualize their thoughts in conversation. We also consider emotion and its relation to common ground to better analyze the conversation. We focus on a bargaining scenario, to illustrate how the framework of SES could be employed to help people realize subtle socio-ethical issues in social activities to design a robot that can engage in social interactions with people as well as other robots as well.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Schematic, propositional, analogical and associative representational systems.
References
Azzam T, Evergreen S, Germuth AA, Kistler SJ (2013) Data visualization and evaluation. N Dir Eval 2013(139):7–32
Barrett LF (2014) The conceptual act theory: a précis. Emot Rev 6(4):292–297. [Online] Available: https://doi.org/10.1177/1754073914534479
Barrett LF (2017) How emotions are made: the secret life of the brain. Houghton Mifflin Harcourt, Boston/New York
Clark HH (1996) Using language. Cambridge University Press, Cambridge/New York
Couper-Kuhlen E (2015) What does grammar tell us about action? Pragmat Q Publ Int Pragmat Assoc (IPrA) 24(3):623–647
Ekman P (2016) What scientists who study emotion agree about. Perspect Psychol Sci 11(1):31–34
Ekman P, Cordaro D (2011) What is meant by calling emotions basic. Emot Rev 3(4):364–370
Emmorey K, Tversky B, Taylor HA (2000) Using space to describe space: perspective in speech, sign, and gesture. Spat Cogn Comput 2(3):157–180
Goffman E (1967) Interaction ritual: essays on face-to-face interaction. Aldine Transaction, Oxford
Güth W (1995) On ultimatum bargaining experiments – a personal review. J Econ Behav Organ 27(3):329–344
Harsanyi JC (2016) Bargaining. Palgrave Macmillan, London, pp 1–10
Hofstede GJ, Jonker CM, Verwaart T (2008) An agent model for the influence of culture on bargaining. In: Proceedings of the 1st International Working Conference on Human Factors and Computational Models in Negotiation, Delft, The Netherlands, 08–09 Dec 2008. ACM, pp 39–46. https://dl.acm.org/citation.cfm?id=1609175
Miller GA (1995) Wordnet: a lexical database for English. Commun ACM 38(11):39–41
Moors A, Ellsworth PC, Scherer KR, Frijda NH (2013) Appraisal theories of emotion: state of the art and future development. Emot Rev 5(2):119–124
Nakano YI, Reinstein G, Stocky T, Cassell J (2003) Towards a model of face-to-face grounding. In: Proceedings of the 41st Annual Meeting on Association for Computational Linguistics, vol 1. Association for Computational Linguistics, pp 553–561
Nishida T, Nakazawa A, Ohmoto Y, Mohammad Y (2014) Conversational informatics: a data-intensive approach with emphasis on nonverbal communication. Springer, Tokyo
Nishida T, Nakazawa A, Ohmoto Y, Nitschke C, Mohammad Y, Thovuttikul S, Lala D, Abe M, Ookaki T (2015) Synthetic evidential study as primordial soup of conversation. In: International Workshop on Databases in Networked Information Systems. Springer, pp 74–83
Nishida T, Abe M, Ookaki T, Lala D, Thovuttikul S, Song H, Mohammad Y, Nitschke C, Ohmoto Y, Nakazawa A et al (2015) Synthetic evidential study as augmented collective thought process–preliminary report. In: Asian Conference on Intelligent Information and Database Systems, Bali, Indonesia, 23–25 Mar 2015. Springer, pp 13–22. https://doi.org/10.1007/978-3-319-15702-3
Nouri E, Georgila K, Traum D (2017) Culture-specific models of negotiation for virtual characters: multi-attribute decision-making based on culture-specific values. AI Soc 32(1):51–63
Ohmoto Y, Kataoka M, Nishida T (2014) The effect of convergent interaction using subjective opinions in the decision-making process. In: Proceedings of the Cognitive Science Society, vol 36, no. 36
Ohmoto Y, Suyama T, Nishida T (2016a) A method to alternate the estimation of global purposes and local objectives to induce and maintain the intentional stance. In: Proceedings of the Fourth International Conference on Human Agent Interaction, Biopolis, Singapore, 04–07 Oct. ACM, pp 379–385
Ohmoto Y, Ookaki T, Nishida T (2016b) A support system to accumulate interpretations of multiple story timelines. Procedia Comput Sci 96:607–616
Ookaki T, Abe M, Yoshino M, Ohmoto Y, Nishida T (2015) Synthetic evidential study for deepening inside their heart. In: International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, Seoul, South Korea, 10–12 June 2015. Springer, pp 161–170. https://doi.org/10.1007/978-3-319-19066-2
Posner J, Russell JA, Peterson BS (2005) The circumplex model of affect: an integrative approach to affective neuroscience, cognitive development, and psychopathology. Dev Psychopathol 17(3):715–734
Rubin JZ, Brown BR (1975) The social psychology of bargaining and negotiation. Academic, San Diego
Thompson L (2000) The Mind and heart of the negotiator. Prentice Hall Press, Upper Saddle River
Tomasello M (2010) Origins of human communication. MIT Press, Cambridge/London
Traum DR (1994) A computational theory of grounding in natural language conversation. Rochester Univ NY Dept of Computer Science, Technical Report
Tversky B (2011) Visualizing thought. Top Cogn Sci 3(3):499–535
Wellman HM (2014) Making minds: how theory of mind develops. Oxford University Press, New York
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG (outside the USA)
About this chapter
Cite this chapter
Mirzaei, M.S., Zhang, Q., der Struijk, S.v., Nishida, T. (2019). Towards Conversation Envisioning for Cognitive Robots. In: Vallverdú, J., Müller, V. (eds) Blended Cognition. Springer Series in Cognitive and Neural Systems, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-030-03104-6_7
Download citation
DOI: https://doi.org/10.1007/978-3-030-03104-6_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-03103-9
Online ISBN: 978-3-030-03104-6
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)