DocumentCode
3575426
Title
A Study of Using SmartBox to Embed Emotion Awareness through Stimulation into E-learning Environments
Author
Caballe, Santi ; Barolli, Leonard ; Feidakis, Michalis ; Matsuo, Keita ; Xhafa, Fatos ; Daradoumis, Thanasis ; Oda, Tetsuya
Author_Institution
Dept. of IT, Multimedia, & Telecommun., Open Univ. of Catalonia, Barcelona, Spain
fYear
2014
Firstpage
469
Lastpage
474
Abstract
Emotions strongly influence human´s behavior in individual and social situations and must be seriously considered in any human activity, such as e-Learning. Indeed, the embedding of emotional awareness features into virtual learning environments could offer a more authentic and challenging e-Learning experience, either individual or collaborative. However, the lack of empirical results together with the complexity attributed to the management by computers of human emotions and affective data, seriously limits the advances in e-Learning as it impedes to virtualize many real-world learning situations in which emotions play a significant role. In this paper, we investigate the use of the SmartBox device for emotion measurement of distance learners during their study as well as the development of affective strategies based on the SmartBox´s stimulation capabilities. The aim is to collect emotion data from different sources in order to provide the most appropriate affective responses that positively influence distance learners´ study and results and ultimately enhance the e-Learning process.
Keywords
behavioural sciences computing; distance learning; SmartBox; distance learners; e-learning environments; emotion awareness; emotion data; human activity; human behavior; real-world learning situation virtualization; social situations; virtual learning environments; Computers; Educational institutions; Electronic learning; Keyboards; Mice; Mood; Sensors; Emotion awareness; SmartBox; affective state; e-Learning; emotcontrol; virtual learning environment;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Networking and Collaborative Systems (INCoS), 2014 International Conference on
Print_ISBN
978-1-4799-6386-7
Type
conf
DOI
10.1109/INCoS.2014.9
Filename
7057134
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