Cross-Cultural Design and Evaluation of Student Companion Robots with Varied Kawaii (Cute) Attributes

Dave Berque, Hiroko Chiba, Tipporn Laohakangvalvit, Michiko Ohkura, Peeraya Sripian, Midori Sugaya, Liam Guinee, Shun Imura, Narumon Jadram, Rafael Martinez, Sheong Fong Ng, Haley Schwipps, Shuma Ohtsuka, Grace Todd

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We report on an extension of a cross-cultural collaborative project between students and faculty at DePauw University in the United States and Shibaura Institute of Technology in Japan. The ongoing project uses cross-cultural teams to design and evaluate virtual companion robots for university students with the goal of gaining a deeper understanding of the role that kawaii (Japanese cuteness) plays in fostering positive human response to, and acceptance of, robots across cultures. Members of two cross-cultural teams designed virtual companion robots with specific kawaii attributes. Using these robots, we conducted the first phase of a two-phase user study to understand perceptions of these companion robots. The findings demonstrate that participants judge round companion robots to be more kawaii than angular ones and they also judge colorful robots to be more kawaii than greyscale robots. The phase one study identified pairs of robots that are the most appropriate candidates for conducting further investigations. The appropriateness of these pairs holds across male and female participates as well as across participants whose primary culture is American and those whose primary culture is Japanese. This work prepares us to perform a more detailed study across genders and cultures using both survey results and biosensors. In turn, this will inform our long-term goal of designing robots that are appealing across gender and culture.

Original languageEnglish
Title of host publicationHuman-Computer Interaction. Theoretical Approaches and Design Methods - Thematic Area, HCI 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Proceedings
EditorsMasaaki Kurosu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages391-409
Number of pages19
ISBN (Print)9783031053108
DOIs
Publication statusPublished - 2022
EventHuman Computer Interaction thematic area of the 24th International Conference on Human-Computer Interaction, HCII 2022 - Virtual, Online
Duration: 2022 Jun 262022 Jul 1

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13302 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceHuman Computer Interaction thematic area of the 24th International Conference on Human-Computer Interaction, HCII 2022
CityVirtual, Online
Period22/6/2622/7/1

Keywords

  • Cross-cultural design
  • Human-robot interaction
  • Kawaii

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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