Authors:
Takehiko Yamaguchi
1
;
Yuta Yamagami
1
;
Toshihiko Sato
1
;
Hibiki Fujino
1
;
Tetsuya Harada
1
;
Debora Alexandora Foloppe
2
;
Paul Richard
3
and
Philippe Allain
4
Affiliations:
1
Tokyo University of Science, Japan
;
2
Université d’Angers, France
;
3
University of Angers, France
;
4
Université d’Angers and CHU d’Angers, France
Keyword(s):
Errorless Learning, Alzheimer’s Disease, Virtual Agent, Collaborative Cognition, Mind-Wandering.
Related
Ontology
Subjects/Areas/Topics:
Augmented, Mixed and Virtual Environments
;
Computer Vision, Visualization and Computer Graphics
;
Evaluation of Human Performance and Usability in Virtual Environments
;
Games for Education and Training
;
Interactive Environments
;
Virtual Humans and Artificial Life
Abstract:
Everyday action impairment is one of the diagnostic criteria of Alzheimer’s disease and is associated with many serious consequences, including loss of functional autonomy and independence. It has been shown that the (re)learning of everyday activities is possible in Alzheimer’s disease by using errorless learning approaches. The purpose of this study is to propose a newly revised Virtual Kitchen system that allows training of everyday activities to integrate a new approach of errorless learning (EL) framework using collaborative learning with a virtual agent. In this paper, we describe a concept of the proposed framework, as well as explore user’s attention change to analyse eye tracking data during a training task in order to review the effectiveness of the proposed EL framework.