DocumentCode :
3146000
Title :
Conceptual Model for E-learning Systems Using Kansei Engineering Techniques: A Preliminary Study
Author :
Sandanayake, T.C. ; Madurapperuma, A.P.
Author_Institution :
Fac. of Inf. Technol., Univ. of Moratuwa, Moratuwa, Sri Lanka
fYear :
2009
fDate :
25-28 June 2009
Firstpage :
148
Lastpage :
152
Abstract :
The rapid development of information technology leads to extremely dynamic changes in various tools and technologies applied to the e-learning process. However, building computer devices or systems with the ability of responding to learner emotions is a challengeable task. Kansei Engineering, as a novel concept in the modern era of e-learning addresses the psychological feelings such as emotions, moods, and impressions of the e-learner. The aim of this research study is to introduce the background of Kansei Engineering, its methodology, potentiality and boundaries for designing and building new systems with a profound affection on the user. This study further discuss about the importance of recognizing learner emotions in an e-learning environment. The software agent of the proposed system will be drive in the newly designed e-learning platform, there by investigate the navigational pattern of the e-learner and learner in order to respond to their emotional states accordingly.
Keywords :
computer aided instruction; information technology; psychology; software agents; Kansei engineering techniques; e-learning environment; e-learning process; e-learning systems; information technology; learner emotions; psychological feelings; software agent; Buildings; Design engineering; Electronic learning; Emotion recognition; Information technology; Mood; Navigation; Psychology; Software agents; Systems engineering and theory; E-Learner; E-learning; Kansei Engineering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biometrics and Kansei Engineering, 2009. ICBAKE 2009. International Conference on
Conference_Location :
Cieszyn
Print_ISBN :
978-0-7695-3692-7
Electronic_ISBN :
978-0-7695-3692-7
Type :
conf
DOI :
10.1109/ICBAKE.2009.44
Filename :
5223221
Link To Document :
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