Evaluation of feeling of the like in watching pictures by physiological signals

Takuma Hashimoto, Kensaku Fukumoto, Tomomi Takashina, Yoshikazu Hirayama, Michiko Ohkura, Ryota Horie

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

Abstract

We usually use the word ‘like’ when we see good pictures, e.g. in social networks. When we choose a picture that evokes the feeling of ‘like’ out of many pictures, we evaluate each picture based on our subjective and intuitive preference. We hypothesized that physiological responses arise when participants watch pictures that evokes the feeling of ‘like’. In this study, we examined whether we can measure physiological responses when participants feel ‘to like’ a picture they choose among many pictures. We measured electroencephalogram, electrooculogram, electrocardiogram, and respiration of the participants while these are choosing the best picture from a set of pictures which had different setting of depth of field. We found that EEG responses appears when the participant watched the best pictures which evokes the feeling of ‘like’.

Original languageEnglish
Title of host publicationAdvances in Affective and Pleasurable Design - Proceedings of the AHFE 2018 International Conference on Affective and Pleasurable Design, 2018
EditorsShuichi Fukuda
PublisherSpringer Verlag
Pages403-408
Number of pages6
ISBN (Print)9783319949437
DOIs
Publication statusPublished - 2019 Jan 1
EventAHFE International Conference on Affective and Pleasurable Design, 2018 - Orlando, United States
Duration: 2018 Jul 212018 Jul 25

Publication series

NameAdvances in Intelligent Systems and Computing
Volume774
ISSN (Print)2194-5357

Other

OtherAHFE International Conference on Affective and Pleasurable Design, 2018
CountryUnited States
CityOrlando
Period18/7/2118/7/25

Keywords

  • Electrocardiogram
  • Electroencephalogram
  • Electrooculogram
  • Feeling of the like
  • Physiological signals
  • Pictures
  • Respiration

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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