Awareness-Based Recommendation toward a New Preference: Evaluation of the Awareness Effect

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Author(s): Tomohiro Yamaguchi (Nara National College of Technology, Japan), Takuma Nishimura (NTT Neomeit, Japan)and Keiki Takadama (The University of Electro-Communications, Japan)
Copyright: 2015
Pages: 23
Source title: Handbook of Research on Advancements in Robotics and Mechatronics
Source Author(s)/Editor(s): Maki K. Habib (The American University in Cairo, Egypt)
DOI: 10.4018/978-1-4666-7387-8.ch009

Keywords: Computer Science & IT / Engineering Science Reference / Mechanical Engineering / Robotics

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Abstract

In mechatronics and robotics, one of the important issues is to design human interface. There are two issues on interaction design research. One is the way to education and training to adapt humans for operating the robots or interaction systems. Another one is the way to make interaction design adaptable for humans. This chapter research at the latter issue. This chapter describes 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 system improves the efficiency for deciding the most preferred plan for both heavy users and light users.

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Awareness-Based Recommendation toward a New Preference: Evaluation of the Awareness Effect

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