Authors:
Efthymios Alepis
1
;
Maria Virvou
1
and
Katerina Kabassi
2
Affiliations:
1
University of Piraeus, Greece
;
2
Technological Educational Institute of the Ionian Islands, Greece
Keyword(s):
Mobile devices, m-learning, affective interaction, bi-modal interaction, multi-attribute decision making theories.
Related
Ontology
Subjects/Areas/Topics:
Computer-Supported Education
;
e-Learning
;
e-Learning, e-Commerce and e-Society Applications
;
Human-Machine Interface
;
Mobile Multimedia (GSM, GPRS, RF, Wi-Fi,…)
;
Multimedia
;
Multimedia and Communications
;
Multimedia Systems and Applications
;
Telecommunications
Abstract:
This paper presents how multi attributes decision making is used for affective interaction in mobile devices. The system bases its inferences about users’ emotions on user input evidence from the keyboard and the microphone of the mobile device. The actual combination of evidence from these two modes of interaction has been performed based on an innovative inference mechanism for emotions and a multi-attribute decision making theory. The mechanism that integrates the inferences form the two modes has been based on the results of two empirical studies, with the participation of human experts and possible users of the system.