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

被引:0
作者
Yokota, Tomoki [1 ]
Kotani, Kentaro [1 ]
Asao, Takafumi [1 ]
Suzuki, Satoshi [1 ]
机构
[1] Kansai Univ, Dept Mech Engn, Osaka, Japan
来源
HCI INTERNATIONAL 2023 LATE BREAKING PAPERS, HCII 2023, PT II | 2023年 / 14055卷
关键词
Eye Gaze; Resilience; Attentional Bias;
D O I
10.1007/978-3-031-48041-6_43
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:640 / 653
页数:14
相关论文
共 13 条
  • [1] [Anonymous], Karolinska Directed Emotional Faces (KDEF) documents
  • [2] Corvus-window, Checking for multicollinearity in Excel
  • [3] The Geneva affective picture database (GAPED): a new 730-picture database focusing on valence and normative significance
    Dan-Glauser, Elise S.
    Scherer, Klaus R.
    [J]. BEHAVIOR RESEARCH METHODS, 2011, 43 (02) : 468 - 477
  • [4] Maeshiba Naoki, 2020, HCI International 2020 - Late Breaking Papers. Multimodality and Intelligence. 22nd HCI International Conference, HCII 2020. Proceedings. Lecture Notes in Computer Science (LNCS 12424), P194, DOI 10.1007/978-3-030-60117-1_14
  • [5] Mari H., 2010, Pers. Res., V19, P94
  • [6] Ministry of health labour and welfare, 2020, patient survey overview
  • [7] National center for child health and development, CoronaxChildren questionnaire fourth survey report
  • [8] OECD, a new benchmark for mental health systems, international survey on mental health
  • [9] Satoko T., Taisho Univ. Graduate Sch. Res. Rev., V46, P110
  • [10] Shinji K., 2002, Couns. Res., V35, P57