Bayesian affect control theory

Proceedings - 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, ACII 2013

Volumn , Issue , 2013, Pages 166-172

  Hoey, Jesse ^a   Schröder, Tobias ^a   Alhothali, Areej ^a  

^a UNIVERSITY OF WATERLOO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

AFFECT CONTROL THEORIES; DECISION-THEORETIC; GENERALISATION; INTELLIGENT TUTORING; MATHEMATICAL REPRESENTATIONS; MULTIPLE HYPOTHESIS; PILOT TESTING; UNDERLYING PRINCIPLES;

CONTROL THEORY; DECISION THEORY; PROBABILITY DISTRIBUTIONS;

ASSOCIATION REACTIONS;

EID: 84893255887     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACII.2013.34     Document Type: Conference Paper

References (23)

1. D. R. Heise, Expressive Order: Confirming Sentiments in Social Actions. Springer, 2007.
2. C. E. Osgood, W. H. May, and M. S. Miron, Cross-Cultural Universals of Affective Meaning. University of Illinois Press, 1975.
3. D. R. Heise, Surveying Cultures: Discovering Shared Conceptions and Sentiments. Wiley, 2010.
4. F. Heider, "Attitudes and cognitive organization," Journal of Psychology: Interdisciplinary and Applied, vol. 21, pp. 107-112, 1946.
5. P. Thagard, Coherence in Thought and Action. MIT Press, 2000.
6. T. Schröder and W. Scholl, "Affective dynamics of leadership: An experimental test of affect control theory," Social Psychology Quarterly, vol. 72, pp. 180-197, 2009.
7. T. Schröder, J. Netzel, C. Schermuly, and W. Scholl, "Cultureconstrained affective consistency of interpersonal behavior," Social Psychology, vol. 44, pp. 47-58, 2013.
8. K. J. Åström, "Optimal control of Markov decision processes with incomplete state estimation," J. Math. Anal. App., vol. 10, 1965.
9. J. Pearl, Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. San Mateo, CA: Morgan Kaufmann, 1988.
10. J. T. Folsom-Kovarik, G. Sukthankar, and S. Schatz, "Tractable POMDP representations for intelligent tutoring systems," ACM Transactions on Intelligent Systems and Technology, vol. 4, no. 2, March 2013.
11. C. Conati and H. Maclaren, "Empirically building and evaluating a probabilistic model of user affect." UMUAI, vol. 19, 2009.
12. J. Hoey, C. Boutilier, P. Poupart, P. Olivier, A. Monk, and A. Mihailidis, "People, sensors, decisions: Customizable and adaptive technologies for assistance in healthcare," ACM Trans. IIS, vol. 2, no. 4, 2012.
13. J. Hoey, T. Schröder, and A. Alhothali, "Affect control processes: Probabilistic and decision theoretic affective control in human-computer interaction," 2013. Available as University of Waterloo School of Computer Science Technical Report CS-2013-03.
14. J. M. Porta, N. Vlassis, M. T. Spaan, and P. Poupart, "Point-based value iteration for continuous POMDPs," JMLR, vol. 7, 2006.
15. D. Silver and J. Veness, "Monte-Carlo planning in large POMDPs," in Proc. NIPS, December 2010.
16. A. Doucet, N. de Freitas, and N. Gordon, Eds., Sequential Monte Carlo in Practice. Springer-Verlag, 2001.
17. J. Sabourin, B. Mott, and J. C. Lester, "Modeling learner affect with theoretically grounded dynamic Bayesian networks," in Proc. Affective Computing and Intelligent Interaction, 2011.
18. K. R. Scherer, T. Banziger, and E. Roesch, A Blueprint for Affective Computing. Oxford University Press, 2010.
19. A. Ortony, G. Clore, and A. Collins, The Cognitive Structure of Emotions. Cambridge University Press, 1988.
20. K. B. Rogers, T. Schröder, and C. von Scheve, "Dissecting the sociality of emotion: A multi-level approach," Emotion Review, forthcoming.
21. D. B. Shank, "An affect control theory of technology," Current Research in Social Psychology, vol. 15, no. 10, pp. 1-13, 2010.
22. L. Troyer, "An affect control theory as a foundation for the design of socially intelligent systems," in Proc. AAAI Spring Symp. on Architechtures for Modeling Emotion, 2004.
23. B. Reeves and C. Nass, The media equation. Cambridge University Press, 1996.