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

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

Tomohiro Yamaguchi, Takuma Nishimura, Keiki Takadama
Copyright: © 2019 |Pages: 22
ISBN13: 9781522583561|ISBN10: 1522583564|EISBN13: 9781522583578
DOI: 10.4018/978-1-5225-8356-1.ch029
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MLA

Yamaguchi, Tomohiro, et al. "Awareness-Based Recommendation Toward a New Preference: Evaluation of the Awareness Effect." Human Performance Technology: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2019, pp. 572-593. https://doi.org/10.4018/978-1-5225-8356-1.ch029

APA

Yamaguchi, T., Nishimura, T., & Takadama, K. (2019). Awareness-Based Recommendation Toward a New Preference: Evaluation of the Awareness Effect. In I. Management Association (Ed.), Human Performance Technology: Concepts, Methodologies, Tools, and Applications (pp. 572-593). IGI Global. https://doi.org/10.4018/978-1-5225-8356-1.ch029

Chicago

Yamaguchi, Tomohiro, Takuma Nishimura, and Keiki Takadama. "Awareness-Based Recommendation Toward a New Preference: Evaluation of the Awareness Effect." In Human Performance Technology: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 572-593. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-8356-1.ch029

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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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