Evaluation of Emotional Changes Caused by Wearing Gothic Lolita Using Physiological Sensors

Linze Jing, Chen Feng, Yanzhi Li, Midori Sugaya

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

Abstract

Goth is a music-based subculture that has a dark worldview and has influenced fashion, fiction, and art. In Japan, the Goth subculture was merged with Lolita clothing to create Gothic Lolita, which has been popular for over 20 years. Although previous research has shown that wearing Gothic Lolita can have positive emotional effects on the wearers. However, these studies mainly rely on questionnaires and interviews, which can be influenced by various factors such as the possibility of mixing the intentions of participants into the results. To address this issue, we applied a method that applied EEG signals and HRV indexes to evaluate the emotions of the participants. Since the Gothic Lolita is the darkest style within Lolita clothing, in this study, we did a preliminary experiment to collect physiological information while wearing Lolita clothing. We applied time-series analysis to collected data. As the result, the collected EEG signals and HRV indexes were more positive when wearing Lolita clothing than when wearing ordinary clothing. Both questionnaires and physiological information evaluations showed that wearing Lolita clothing increased the participants’ arousal, valence, and dominance.

Original languageEnglish
Title of host publicationHCI International 2023 – Late Breaking Posters - 25th International Conference on Human-Computer Interaction, HCII 2023, Proceedings
EditorsConstantine Stephanidis, Margherita Antona, Stavroula Ntoa, Gavriel Salvendy
PublisherSpringer Science and Business Media Deutschland GmbH
Pages478-484
Number of pages7
ISBN (Print)9783031492143
DOIs
Publication statusPublished - 2024
Event25th International Conference on Human-Computer Interaction, HCII 2023 - Copenhagen, Denmark
Duration: 2023 Jul 232023 Jul 28

Publication series

NameCommunications in Computer and Information Science
Volume1958 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference25th International Conference on Human-Computer Interaction, HCII 2023
Country/TerritoryDenmark
CityCopenhagen
Period23/7/2323/7/28

Keywords

  • Emotion Evaluation
  • Gothic Lolita
  • Physiological Sensors

ASJC Scopus subject areas

  • General Computer Science
  • General Mathematics

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