JACIII Vol.19 No.6 pp. 727-737
doi: 10.20965/jaciii.2015.p0727


Cognitive Training System for Dementia Prevention Using Memory Game Based on the Concept of Human-Agent Interaction

Daisuke Kitakoshi*, Ryo Hanada**, Keitarou Iwata*, and Masato Suzuki*

*Department of Computer Science, Tokyo National College of Technology
1220-2 Kunugida-machi, Hachioji-shi, Tokyo 193-0997, Japan
**Faculty of Engineering, Chiba University
1-33 Yayoi-cho, Inage-ku, Chiba-shi, Chiba 263-8522, Japan

March 26, 2015
July 28, 2015
Online released:
November 20, 2015
November 20, 2015
preventive care, dementia prevention, cognitive training, human-agent interaction, reinforcement learning

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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