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DOI: 10.14569/IJACSA.2019.0100450
PDF

Academic Emotions Affected by Robot Eye Color: An Investigation of Manipulability and Individual-Adaptability

Author 1: Kento Koike
Author 2: Yuya Tsuji
Author 3: Takahito Tomoto
Author 4: Daisuke Katagami
Author 5: Takenori Obo
Author 6: Yuta Ogai
Author 7: Junji Sone
Author 8: Yoshihisa Udagawa

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 4, 2019.

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Abstract: We investigate whether academic emotions are affected by the color of a robot’s eyes in lecture behaviors. In conventional human-robot interaction research on robot lecturers, the emphasis has been on robots assisting or replacing human lecturers. We expanded these ideas and examined whether robots could lecture using one’s behaviors that are impossible for humans. Psychological research has shown that color affects emotions. Because emotion is strongly related to learning, and a framework of emotion control is required. Thus, we considered whether emotions related to the learner’s academic work, called “academic emotions,” can be controlled by the color of a robot’s illuminated eye light. In this paper, we found that the robot’s eye light color affects academic emotions and that the effect can be manipulated and adapted to individuals. Furthermore, the manipulability of academic emotions by color was confirmed in a situation mimicking a real lecture.

Keywords: Robot lecturer; academic emotions; lecture behavior; human-robot interaction

Kento Koike, Yuya Tsuji, Takahito Tomoto, Daisuke Katagami, Takenori Obo, Yuta Ogai, Junji Sone and Yoshihisa Udagawa, “Academic Emotions Affected by Robot Eye Color: An Investigation of Manipulability and Individual-Adaptability” International Journal of Advanced Computer Science and Applications(IJACSA), 10(4), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100450

@article{Koike2019,
title = {Academic Emotions Affected by Robot Eye Color: An Investigation of Manipulability and Individual-Adaptability},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100450},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100450},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {4},
author = {Kento Koike and Yuya Tsuji and Takahito Tomoto and Daisuke Katagami and Takenori Obo and Yuta Ogai and Junji Sone and Yoshihisa Udagawa}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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