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Effectiveness of Manga Technique in Expressing Facial Expressions of Welfare Robot

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HCI International 2021 - Posters (HCII 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1420))

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Abstract

We have been developing a communication robot “advice robot” that encourages and suggests actions to an elderly person, such as having a meal, taking a bath, taking medicine, etc. If the robot’s affective expressions are weak, an elderly user may not be able to understand or follow the robot’s suggestions. We focused on the vertical line and shadow techniques used in manga, or Japanese comics, to strengthen the affective expressions of disgust and fear, which can be difficult for the robot to express. The results of our experiment showed that the impression of disgust was strengthened by adding vertical lines. On the other hand, the impression of fear could not be strengthened by using the manga techniques. However, when the vertical lines were added to a happy face, the impression of fear was greater than when the lines were added to a fearful face.

The research was supported by KAKENHI 19K12192.

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Notes

  1. 1.

    Ministry of Economy, Trade and Industry.

  2. 2.

    Ministry of Health, Labour and Welfare.

References

  1. Robotic Care Devices Portal - Robotic Devices for Nursing Care Project. http://robotcare.jp/en/home/index.php. Accessed 6 Mar 2021

  2. Takeuchi, O.: Manga HyougenGaku Nyumon (An Introduction to Manga Studies). Chikumashobo (2005)

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  3. Ekman, P.: Darwin and Facial Expressions. Academic Press, Cambridge (1973)

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  4. Ekman, P.: Emotion in the Human Face. Cambridge University Press, Cambridge (1982)

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Correspondence to Masayoshi Kanoh .

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Sanda, J., Kanoh, M. (2021). Effectiveness of Manga Technique in Expressing Facial Expressions of Welfare Robot. In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2021 - Posters. HCII 2021. Communications in Computer and Information Science, vol 1420. Springer, Cham. https://doi.org/10.1007/978-3-030-78642-7_25

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  • DOI: https://doi.org/10.1007/978-3-030-78642-7_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-78641-0

  • Online ISBN: 978-3-030-78642-7

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