Cognitive Training System for Dementia Prevention Using Memory Game Based on the Concept of Human-Agent Interaction
Author(s) -
Daisuke Kitakoshi,
Ryo Hanada,
Keitarou Iwata,
Masato Suzuki
Publication year - 2015
Publication title -
journal of advanced computational intelligence and intelligent informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.172
H-Index - 20
eISSN - 1343-0130
pISSN - 1883-8014
DOI - 10.20965/jaciii.2015.p0727
Subject(s) - computer science , cognition , reinforcement learning , human–computer interaction , cognitive training , function (biology) , serious game , artificial intelligence , multimedia , psychology , neuroscience , evolutionary biology , biology
This paper describes a cognitive training system to help older adults to stimulate and maintain their cognitive functions based on a memory game implemented on a tablet device. In this system, a software agent incorporated into the tablet device performs dialogic interactions with users based on the concept of human-agent interaction (HAI) to (i) reduce their psychological resistance to the system; (ii) maintain their interest in the game; and (iii) improve the motivation for users to play the game long term. The difficulty level of the game is adjusted through reinforcement learning algorithms depending on the proficiency of respective users. Several experiments and subjective evaluations by older adults were conducted to evaluate the basic characteristics of the system, and to investigate the impact of the system on cognitive function. The ultimate goal of the proposed system is to establish an environment in which users can continuously engage in dementia-prevention activities without getting bored.
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