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Awareness Based Recommendation: Passively Interactive Learning System

Awareness Based Recommendation: Passively Interactive Learning System

Tomohiro Yamaguchi, Takuma Nishimura, Keiki Takadama
Copyright: © 2016 |Volume: 4 |Issue: 1 |Pages: 17
ISSN: 2166-7195|EISSN: 2166-7209|EISBN13: 9781466693760|DOI: 10.4018/IJRAT.2016010105
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MLA

Yamaguchi, Tomohiro, et al. "Awareness Based Recommendation: Passively Interactive Learning System." IJRAT vol.4, no.1 2016: pp.83-99. http://doi.org/10.4018/IJRAT.2016010105

APA

Yamaguchi, T., Nishimura, T., & Takadama, K. (2016). Awareness Based Recommendation: Passively Interactive Learning System. International Journal of Robotics Applications and Technologies (IJRAT), 4(1), 83-99. http://doi.org/10.4018/IJRAT.2016010105

Chicago

Yamaguchi, Tomohiro, Takuma Nishimura, and Keiki Takadama. "Awareness Based Recommendation: Passively Interactive Learning System," International Journal of Robotics Applications and Technologies (IJRAT) 4, no.1: 83-99. http://doi.org/10.4018/IJRAT.2016010105

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Abstract

In Artificial Intelligence and Robotics, one of the important issues is to design Human interface. There are two issues, one is the machine-centered interaction design to adapt humans for operating the robots or systems. Another one is the human-centered interaction design to make it adaptable for humans. This research aims at latter issue. This paper presents the interactive learning system to assist positive change in the preference of a human toward the true preference, then evaluation of the awareness effect is discussed. The system behaves passively to reflect the human intelligence by visualizing the traces of his/her behaviors. Experimental results showed that subjects are divided into two groups, heavy users and light users, and that there are different effects between them under the same visualizing condition. They also showed that the authors' system improves the efficiency for deciding the most preferred plan for both heavy users and light users.

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