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Estimation of Stress Resilience from Eye-Gaze Data Collected by a Tablet Terminal When Performing a Dot-Probe Task: Application to Junior High School Students

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HCI International 2023 – Late Breaking Papers (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14055))

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Abstract

In recent years, the number of patients with mental disorders due to mental health problems has been increasing. In a previous study of this researchO, we created an application that collects eye gaze data using tablet terminals and investigated the possibility of obtaining a higher correlation with resilience scores by analyzing the gaze data. As a result, we reported that it was possible to predict resilience tendencies to some extent from eye gaze information in the experiment with university students. However, it has been reported in previous studies that the average resilience score decreases significantly from elementary school to adolescence, and then increases again among college students, showing a U-shaped curvilinear change, so it is unclear whether the estimation of resilience by eye gaze measurement can be applied to middle and high school students as well as to college students. The purpose of this study was to investigate the relationship between attentional bias and resilience using eye gaze information and to investigate the effectiveness of these methods for children. Using multiple regression analysis with the gaze indicator as the explanatory variable and the resilience questionnaire as the objective variable, we found that the degree-of-freedom-adjusted coefficient of determination R*2 of the regression equation predicting ARS was 0.67, and the degree-of-freedom-adjusted coefficient of determination R*2 of the regression equation predicting BRS was 0.41.

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Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, Kansai University, Osaka, Japan

    Tomoki Yokota, Kentaro Kotani, Takafumi Asao & Satoshi Suzuki

Authors
  1. Tomoki Yokota
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  2. Kentaro Kotani
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  3. Takafumi Asao
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  4. Satoshi Suzuki
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Corresponding author

Correspondence to Tomoki Yokota .

Editor information

Editors and Affiliations

  1. Tsinghua University, Beijing, China

    Qin Gao

  2. Chongqing University, Chongqing, China

    Jia Zhou

  3. Purdue University, West Lafayette, IN, USA

    Vincent G. Duffy

  4. Foundation for Research and Technology - Hellas (FORTH), Heraklion, Crete, Greece

    Margherita Antona

  5. University of Crete and Foundation for Research and Technology - Hellas (FORTH), Heraklion, Crete, Greece

    Constantine Stephanidis

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Yokota, T., Kotani, K., Asao, T., Suzuki, S. (2023). Estimation of Stress Resilience from Eye-Gaze Data Collected by a Tablet Terminal When Performing a Dot-Probe Task: Application to Junior High School Students. In: Gao, Q., Zhou, J., Duffy, V.G., Antona, M., Stephanidis, C. (eds) HCI International 2023 – Late Breaking Papers. HCII 2023. Lecture Notes in Computer Science, vol 14055. Springer, Cham. https://doi.org/10.1007/978-3-031-48041-6_43

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  • DOI: https://doi.org/10.1007/978-3-031-48041-6_43

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-48040-9

  • Online ISBN: 978-3-031-48041-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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