Abstract
Interactions between humans and service robots are more natural when emotions can be synthesized in those robots. Cognitive appraisal theory of emotions provides a theoretical basis for designing artificial emotion generation systems for robots. Computational algorithms to implement the cognitive appraisal theory were proposed in this research. The algorithms were based on a probabilistic description about the world. The proposed model was applied to a sample of interactive tasks, and the robot’s emotions during the task execution can lead to a more positive human–robot interaction experience.
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References
Breazeal, C.: Designing Sociable Robots. The MIT Press, Cambridge (2002)
Fong, T., Nourbakhsh, I., Dautenhahn, K.: A survey of socially interactive robots. Robot. Auton. Syst. 42, 143–166 (2003)
Frijda, N.H.: The Emotions. Cambridge University Press, New York (1986)
Gratch, J., Marsella, S.: A domain-independent framework for modeling emotion. Cognit. Syst. Res. 5(4), 269–306 (2004)
Gratch, J., Mao, W., Marsella, S.: Modeling social emotions and social attributions. In: Cognition and Multi-Agent Interaction: From Cognitive Modeling to Social Simulation. Cambridge University Press, Cambridge (2006)
Kim, M.G., Lee, H.S., Park, J.W., Jo, S.H., Jung, M.J.: Determinig color and blinking to support facial expression of a robot for conveying emotional intensity. In: The 17th IEEE International Symposium on Robot and Human Interactive Communication, Munich, Germany, pp. 219–224 (2008)
LaValle, S.M.: Planning Algorithm. Cambridge University Press, New York (2006)
Lee, H.J., Park, J.C.: Interpretation of user evaluation for emotional speech sythesis system. In: Human–Computer Interaction New Trends. LNCS, vol. 5610, pp. 295–303 (2009)
Lohse, M., Hanheide, M., Wrede, B., Walters, M., Koay, K.L., Syrdal, D., Green, A., Huttenrauch, H., Dautenhahn, K., Sagerer, G., Severinson-Eklundh, K.: Evaluating extrovert and introvert behaviour of a domestic robot a video study. In: The 17th IEEE International Symposium on Robot and Human Interactive Communication, 2008. RO-MAN 2008, pp. 488–493 (2008)
Miwa, H., Okuchi, T., Itoh, K., Takanobu, H., Takanishi, A.: A new mental model for humanoid robots for human friendly communication—introduction of learning system, mood vector and second order equations of emotion—. In: The 2003 IEEE International Conference on Robotics and Automation, Taipei, Taiwan, pp. 3588–3593 (2003)
Miwa, H., Itoh, K., Matsumoto, M., Zecca, M., Takanobu, H., Roccella, S., Carrozza, M.C., Dario, P., Takanishi, A.: Effective emotional expressions with emotion expression humanoid robot we-4rii. In: 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, Sendai, Japan, pp. 2203–2208 (2004)
Murphy, R.R.: Introduction to AI robotics. In: Intelligent Robots and Autonomous Agents. The MIT Press, Cambridge (2000)
Ortony, A., Clore, G.L., Collins, A.: The Cognitive Structure of Emotions. Cambridge University Press, Cambridge (1988)
Ortony, A., Norman, D.A., Revelle, W.: Affect and proto-affect in effective functioning. In: Fellous, J.M., Arbib, M.A. (eds.) Who Needs Emotions?: The Brain Meets the Robot, pp. 173–202. Oxford University Press, New York (2005)
Park, J.W., Lee, H.S., Jo, S.H., Kim, M.G., Chung, M.J.: Emotional boundaries for choosing modalities according to the intensity of emotion in a linear affect-expression space. In: The 17th IEEE International Symposium on Robot and Human Interactive Communication, Munich, Germany, pp. 225–230 (2008)
Picard, R.W.: Affective Computing. The MIT Press, Cambridge (1997)
Pineau, J.: Tractable planning under uncertainty: exploiting structure. Ph.D. thesis, Carnegie Mellon University (2004)
Plutchik, R.: Emotions and Life. American Psychological Association, Washington (2003)
Ratitch, B., Precup, D.: Characterizing markov decision processes. In: Machine Learning: ECML 2002, 13th European Conference on Machine Learning, pp. 391–404 (2002)
Reilly, W.S.N.: Believable social and emotional agents. Ph.D. thesis, Carnegie Mellon University (1996)
Roseman, I.J., Antonou, A.A., Jose, P.E.: Appraisal determinants of emotions: constructing a more accurate and comprehensive theory. Cogn. Emot. 5(3), 161–200 (1996)
Sander, D., Grandjean, D., Scherer, K.R.: A systems approach to appraisal mechanisms in emotion. Neural Netw. 18(4), 317–352 (2005)
Scherer, K.R.: Studying the emotion-antecedent appraisal process: an expert system approach. Cogn. Emot. 7(3), 325–355 (1993)
Si, M., Marsella, S.C., Pynadath, D.V.: Modeling appraisal in theory of mind reasoning. In: Lecture Notes in Artificial Intelligence, vol. 5208, pp. 334–347 (2008)
Smith, C.A., Lazarus, R.S.: Emotion and adatation. In: Pervin, L.A. (ed.) Handbook of Personality: Theory and Research, Guilford, New York, pp. 609–637 (1990)
Weaver, W.: Probability, rarity, interesst, and surprise. Sci. Mon. 67(6), 309–392 (1948)
Yun, S., Yoo, C.D.: Speech emotion recognition via a max-margin framework incorporating a loss function based on the Watson and Tellegen’s emotion model. In: International Conference on Acoustics, Speech, and Signal Processing, Taipei, Taiwan, pp. 4169–4172 (2009)
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Kim, HR., Kwon, DS. Computational Model of Emotion Generation for Human–Robot Interaction Based on the Cognitive Appraisal Theory. J Intell Robot Syst 60, 263–283 (2010). https://doi.org/10.1007/s10846-010-9418-7
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DOI: https://doi.org/10.1007/s10846-010-9418-7