short-paper

Kawaii feeling estimation by product attributes and biological signals

Authors:

Tipporn Laohakangvalvit,

Tiranee Achalakul,

Michiko OhkuraAuthors Info & Claims

ICMI '16: Proceedings of the 18th ACM International Conference on Multimodal Interaction

Pages 563 - 566

https://doi.org/10.1145/2993148.2997621

Published: 31 October 2016 Publication History

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Abstract

Kansei values are critical factors in manufacturing in Japan. As one kansei value, kawaii, which is a positive adjective that denotes such positive connotations as cute, lovable, and charming, is becoming more important. Our research systematically studies kawaii feelings by eye tracking and biological signals. We will use our results to construct a mathematical model of kawaii feelings that can be applied to the future design and development of kawaii products.

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Ohkura, M., Komatsu and T., Aoto, T. 2014. Kawaii Rules: Increasing Affective Value of Industrial Products. in Editors Industrial Applications of Affective Engineering, Springer International Publishing, 97-110.

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Laohakangvalvit, T., Iida, I., Charoenpit, S. and Ohkura, M. 2016. The Study of Kawaii Feeling by Using Eye Tracking, International Symposium on Affective Science and Engineering (Tokyo, Japan), ISASE’16. 1-7. (Under Review)

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Cited By

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Wang YSeaborn K(2024)Kawaii Computing: Scoping Out the Japanese Notion of Cute in User Experiences with Interactive SystemsExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3651001(1-9)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3651001
Lindblom Dvan Otterdijk MTorresen J(2024)A Qualitative Observational Video-Based Study on Perceived Privacy in Social Robots’ Based on Robots Appearances2024 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO)10.1109/ARSO60199.2024.10557941(74-79)Online publication date: 20-May-2024
https://doi.org/10.1109/ARSO60199.2024.10557941
Zhu DLai XRau P(2022)Recognition and analysis of kawaii style for fashion clothing through deep learningHuman-Intelligent Systems Integration10.1007/s42454-022-00042-w4:1-2(11-22)Online publication date: 4-May-2022
https://doi.org/10.1007/s42454-022-00042-w
Show More Cited By

Index Terms

Kawaii feeling estimation by product attributes and biological signals
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
      1. User models
  2. Interaction design
    1. Interaction design process and methods
      1. User interface design

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Published In

ICMI '16: Proceedings of the 18th ACM International Conference on Multimodal Interaction

October 2016

605 pages

ISBN:9781450345569

DOI:10.1145/2993148

General Chairs:
Yukiko I. Nakano
Seikei University, Japan
,
Elisabeth André
Augsburg University, Germany
,
Toyoaki Nishida
Kyoto University, Japan
,
Program Chairs:
Louis-Philippe Morency
Carnegie Mellon University, USA
,
Carlos Busso
University of Texas at Dallas, USA
,
Catherine Pelachaud
ISIR, France / University of Paris6, France

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Association for Computing Machinery

New York, NY, United States

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Published: 31 October 2016

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SIGCHI

ICMI '16: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION

November 12 - 16, 2016

Tokyo, Japan

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Overall Acceptance Rate 453 of 1,080 submissions, 42%

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Wang YSeaborn K(2024)Kawaii Computing: Scoping Out the Japanese Notion of Cute in User Experiences with Interactive SystemsExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3651001(1-9)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3651001
Lindblom Dvan Otterdijk MTorresen J(2024)A Qualitative Observational Video-Based Study on Perceived Privacy in Social Robots’ Based on Robots Appearances2024 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO)10.1109/ARSO60199.2024.10557941(74-79)Online publication date: 20-May-2024
https://doi.org/10.1109/ARSO60199.2024.10557941
Zhu DLai XRau P(2022)Recognition and analysis of kawaii style for fashion clothing through deep learningHuman-Intelligent Systems Integration10.1007/s42454-022-00042-w4:1-2(11-22)Online publication date: 4-May-2022
https://doi.org/10.1007/s42454-022-00042-w
Zhou XRau POhkura MLaohakangvalvit TWang B(2022)A Deep Learning-Based Approach to Facilitate Cross-cultural Kansei DesignCross-Cultural Design. Interaction Design Across Cultures10.1007/978-3-031-06038-0_11(145-160)Online publication date: 16-Jun-2022
https://doi.org/10.1007/978-3-031-06038-0_11
Marcus AKurosu MMa XHashizume AMarcus AKurosu MMa XHashizume A(2017)IntroductionCuteness Engineering10.1007/978-3-319-61961-3_1(1-31)Online publication date: 31-Oct-2017
https://doi.org/10.1007/978-3-319-61961-3_1

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“Kawaii” from an Engineering Perspective

Measuring biological signals: concepts and practice

A Preliminary Experiment on the Estimation of Emotion Using Facial Expression and Biological Signals

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