Authors:
Ramla Ghali
;
Maher Chaouachi
;
Lotfi Derbali
and
Claude Frasson
Affiliation:
Université de Montréal, Canada
Keyword(s):
Motivation, Engagement, Serious Games, EEG, ARCS Model.
Related
Ontology
Subjects/Areas/Topics:
Agent Models and Architectures
;
Agents
;
Artificial Intelligence
;
Enterprise Information Systems
;
Human-Computer Interaction
;
Intelligent User Interfaces
Abstract:
The use of Video Games as learning tool is becoming increasingly widespread. Indeed, these games are well known as educational games or serious games. They mainly aim at providing to the learner an interactive, motivational and educational environment at the same time. In order to better study the necessary characteristics for the development of an effective serious game (both motivational and educational), we evaluated the physiological responses of participants during their interaction with our serious game, called HeapMotiv. We essentially measured a physiological index of engagement through an EEG wifi headset and studied the evolution of this index with the different missions and motivational strategies of HeapMotiv. Focusing on the gaming aspects, the analysis of this engagement index behavior showed the significant impact of motivational strategies on skills acquisition and motivational experience. An agent-based architecture is proposed as a methodological basis for serious g
ames conception.
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