How to evaluate models of user affect?

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 3068, Issue , 2004, Pages 288-300

  Conati, Cristina ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; DATA REDUCTION; EDUCATION COMPUTING; MATHEMATICAL MODELS; USER INTERFACES; ARTIFICIAL INTELLIGENCE; COMPUTERS;

EMOTION RECOGNITION; EMOTIONAL REACTIONS; HUMAN-COMPUTER DIALOGUE; USER MODELS;

INTELLIGENT AGENTS; SPEECH PROCESSING;

DIRECT MODEL; INTELLIGENT INTERFACE; USER MODELS;

EID: 9444260431     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-24842-2_30     Document Type: Conference Paper

References (15)

1. Ball, G. & Breese, J., Modeling the emotional state of computer users. Workshop on 'Attitude, Personality and Emotions in User-Adapted Interaction, Proc. of UM '99, Banff, Canada (1999).
2. Bosma, W. and André, E. Recognizing Emotions to Disambiguate Dialogue Acts. Proc. of IUI '04, Madeira, Portugal (2004).
3. Conati C., Probabilistic Assessment of User's Emotions in Educational Games, Journal of Applied Artificial Intelligence, vol. 16 (7-8), p. 555-575 (2002).
4. Conati, C., Chabbal R., and Maclaren, H., A study on using biometric sensors for monitoring user emotions in educational games. Proc. of Workshop on Modeling User Affect and Actions: Why, When and How. Proc. of UM' 03, Pittsburgh, PA (2003).
5. Conati C. and Zhao X. Building and Evaluating an Intelligent Pedagogical Agent to Improve the Effectiveness of an Educational Game. Proc. of IUI '04, Madeira, Portugal. (2004).
6. Costa, P.T. and R.R. McCrae. Four ways five factors are basic. Personality and Individual Differences 1. 13: p. 653-665. (1992).
7. Gratch, J. and Marsella, S., Evaluating a General Model of Emotional Appraisal and Coping. Proc. of AAAI Spring Symposium '04 "Architectures for Modeling Emotions", (2004)
8. Guinn, C., and Hubal, R., Extracting Emotional Information from the Text of Spoken Dialogue, in (∗) (2003).
9. Healy, J. and Picard, R. SmartCar: Detecting Driver Stress. in 15th Int. Conf. on Pattern Recognition. Barcelona, Spain (2000).
10. Hudlicka, E. & McNeese, M., Assessment of User Affective and Belief States for Interface Adaptation: Application to an Air Force Pilot Task. User Modeling and User Adapted Interaction, 12(1), 1-47, (2002).
11. Mori, J., Prendinger H., Mayer, S., Dohi and Ishizuka, M., Using Biosignals to track the effects of a character-based interface. in (∗) (2003).
12. Nasoz. F., Lisetti, C., Alvarez, K., Finelstein, N., 2003 Emotion recognition from Physiological Signals for User Modeling of Affect. in (∗) (2003).
13. Ortony, A., G.L. Clore, and A. Collins, The cognitive structure of emotions. Cambridge University Press, (1988).
14. Picard R.W., Vyzas E., & Healey J., Toward Machine Emotional Intelligence: Analysis of Affective Physiological State. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(10), 1175-1191, (2001).
15. Zhou, X. and C. Conati. 2003. Inferring User Goals from Personality and Behavior in a Causal Model of User Affect. Proc. of IUI '03, Miami, FL.