Computers Can Feel Too

Author:

Chatzara K.1,Karagiannidis C.2,Stamatis D.3

Affiliation:

1. Alexander TEI of Thessaloniki, Greece & Department of Special Education University of Thessaly, Greece

2. University of Thessaly, Greece

3. Alexander TEI of Thessaloniki, Greece

Abstract

The introduction of emotional reactions to e-Learning environments might offer a more efficient and effective communication between the user and the machine; a more natural and realistic computer interface. Embodied Intelligent Emotional Agents (IEAs) which are highly expressive and show empathy for the users may help learners overcome academic difficulties and may contribute positively to the pedagogical procedure by making it more efficient and enjoyable. IEAs can be programmed to “show” the correct social behaviour and through them a channel of communication might open to serve for better interaction among learners. This could contribute to increase student’s self esteem, help them recover from negative emotions as well as encourage learners to overcome academic problems. In this chapter the authors review existing systems that use emotional agents and analyze their specific characteristics, their advantages and disadvantages. Finally, based on this analysis they enumerate specific requirements for efficient communication between agents and users and we use them to propose a general architecture model upon which the development of future IEAs could be based.

Publisher

IGI Global

Reference52 articles.

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2. Bates, J., Bryan Loyall, A., & Scott Reilly, W. (1992a). An architecture for action, emotion, and social behavior. Technical Report CMU-CS-92-144. School of Computer Science, Carnegie-Mellon University, Pittsburgh, PA, USA.

3. Bates, J., Bryan Loyall, A., & Scott Reilly, W. (1992b). Integrating reactivity, goals, and emotion in a broad agent. Technical Report CMU-CS-92-142. School of Computer Science, Carnegie-Mellon University, Pittsburgh, PA, USA.

4. Bartneck, C. (2001). Affective expressions of machines. Extended Abstracts of CHI’01: Conference on Human Factors in Computing Systems, pp. 189–190.

5. Baylor, A. L., & Kim, Y. (2003). Validating Pedagogical Agent Roles: Expert, Motivator, and Mentor. Paper presented at the International Conference of Ed-Media, Honolulu, Hawaii.

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