Augmented Web Survey with enhanced response UI for Touch-based Psychological State Estimation

Takaaki Nakagawa, Yutaka Arakawa, Yugo Nakamura

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

1 被引用数 (Scopus)

抄録

In this paper, we propose a method for estimating psychological states such as hesitation and interest during survey responses based on touch operation behavior (touch log). In addition, we propose two enhanced web survey RUIs (Response User Interfaces), (a) a slidebar type RUI and (b) a magnifier type RUI, to expand the operational differences due to hesitation and interest for more accurate estimation. To evaluate the proposed RUIs, we implemented Augmented Web Survey (AWS) as an extension of LimeSurvey and conducted two experiments. Responses were collected from 8 subjects in the experiment to evaluate (a) a slidebar type RUI and from 21 subjects to evaluate (b) a magnifier type RUI. We measured the degree of hesitation by evaluating the subjective hesitation to the questions on a 5-point scale. For the measurement of the degree of interest, the participants were asked to select their top two favorite images among the six images, and the true value was taken as the top two. As a result of comparing the operation logs of the conventional RUI and the slidebar type RUI, it was confirmed that there was a significant difference depending on the degree of hesitation. In addition, more magnification operations were obtained for the magnifier type RUI than the standard pinch-out operation suggesting that it may help estimate psychological states such as hesitation.

本文言語英語
ホスト出版物のタイトルLifeTech 2022 - 2022 IEEE 4th Global Conference on Life Sciences and Technologies
出版社Institute of Electrical and Electronics Engineers Inc.
ページ91-95
ページ数5
ISBN(電子版)9781665419048
DOI
出版ステータス出版済み - 2022
イベント4th IEEE Global Conference on Life Sciences and Technologies, LifeTech 2022 - Osaka, 日本
継続期間: 3月 7 20223月 9 2022

出版物シリーズ

名前LifeTech 2022 - 2022 IEEE 4th Global Conference on Life Sciences and Technologies

会議

会議4th IEEE Global Conference on Life Sciences and Technologies, LifeTech 2022
国/地域日本
CityOsaka
Period3/7/223/9/22

!!!All Science Journal Classification (ASJC) codes

  • 農業および生物科学(その他)
  • 人工知能
  • コンピュータ サイエンスの応用
  • コンピュータ ビジョンおよびパターン認識
  • 生体医工学
  • 器械工学
  • 教育

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