Modeling User Affect from Causes and Effects

  • Authors:
  • Cristina Conati;Heather Maclaren

  • Affiliations:
  • Computer Science Department, University of British Columbia, Vancouver, V6T 1Z4;Computer Science Department, University of British Columbia, Vancouver, V6T 1Z4

  • Venue:
  • UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
  • Year:
  • 2009

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Abstract

We present a model of user affect to recognize multiple user emotions during interaction with an educational computer game. Our model deals with the high level of uncertainty involved in recognizing a variety of user emotions by probabilistically combining information on both the causes and effects of emotional reactions. In previous work, we presented the performance and limitations of the model when using only causal information. In this paper, we discuss the addition of diagnostic information on user affective valence detected via an EMG sensor, and present an evaluation of the resulting model.