Measurement and Evaluations of Kawaii Products by Biological Signals

Michiko Ohkura, Tetsuro Aoto, Kodai Ito, Ryota Horie

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

To evaluate the affective value of industrial products, such subjective evaluation methods as questionnaires are commonly used, even though they have some demerits such as linguistic ambiguity and interfusion of experimenter and/or participant intention to the results. We began our research to objectively evaluate interactive systems by quantifying sensations using biological signals to supplement the above questionnaire demerits. We utilize biological signals to estimate participant feelings of relaxation, comfort, and excitement, which are considered positive sensations. First, we focus on a positive and dynamic feeling called “wakuwaku.” We construct various systems to evaluate affective values to derive wakuwaku feeling using biological signals and clarify the relation between the wakuwaku feeling and biological signals. Then we applied the obtained methods for wakuwaku feeling to evaluate kawaii feeling derived from various stimuli. Finally, we found that kawaii stimuli can be classified into exciting kawaii and relaxing kawaii.

Original languageEnglish
Title of host publicationSpringer Series on Cultural Computing
PublisherSpringer
Pages93-123
Number of pages31
DOIs
Publication statusPublished - 2019 Jan 1

Publication series

NameSpringer Series on Cultural Computing
ISSN (Print)2195-9056
ISSN (Electronic)2195-9064

Keywords

  • Augmented reality
  • Biological signal
  • Excitement
  • Exciting kawaii
  • Industrial product
  • Interactive system
  • Kawaii
  • Photograph
  • Relaxing kawaii
  • Size
  • Virtual reality
  • Wakuwaku feeling

ASJC Scopus subject areas

  • Computer Science Applications
  • Human-Computer Interaction

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  • Cite this

    Ohkura, M., Aoto, T., Ito, K., & Horie, R. (2019). Measurement and Evaluations of Kawaii Products by Biological Signals. In Springer Series on Cultural Computing (pp. 93-123). (Springer Series on Cultural Computing). Springer. https://doi.org/10.1007/978-981-13-7964-2_5