The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Computers Can Feel Too: Intelligent Emotional Agents in E-Learning Systems
|
Author(s): K. Chatzara (Alexander TEI of Thessaloniki, Greece & Department of Special Education University of Thessaly, Greece), C. Karagiannidis (University of Thessaly, Greece)and D. Stamatis (Alexander TEI of Thessaloniki, Greece)
Copyright: 2011
Pages: 18
Source title:
Multi-Agent Systems for Education and Interactive Entertainment: Design, Use and Experience
Source Author(s)/Editor(s): Martin Beer (Sheffield Hallam University, UK), Maria Fasli (University of Essex, UK)and Debbie Richards (Macquarie University, Australia)
DOI: 10.4018/978-1-60960-080-8.ch010
Purchase
|
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.
Related Content
Rafael Martí, Juan-José Pantrigo, Abraham Duarte, Vicente Campos, Fred Glover.
© 2013.
21 pages.
|
Peng-Yeng Yin, Fred Glover, Manuel Laguna, Jia-Xian Zhu.
© 2013.
20 pages.
|
Volodymyr P. Shylo, Oleg V. Shylo.
© 2013.
10 pages.
|
Tabitha James, Cesar Rego.
© 2013.
19 pages.
|
Gary G. Yen, Wen-Fung Leong.
© 2013.
25 pages.
|
Shi Cheng, Yuhui Shi, Quande Qin.
© 2013.
29 pages.
|
Xin-She Yang.
© 2013.
12 pages.
|
|
|