Visual Analysis of Multi-Source College Students' Mental Health Questionnaire Data

被引：0
|
作者：
Chen X. [1 ,2 ]
Tong M. [2 ]
Shi C. [2 ]
Zhang Y. [2 ]
Zhang J. [2 ]
Chen X. [1 ,2 ]
Zhou Z. [2 ,3 ]
机构：
[1] School of Marxism, Zhejiang University, Hangzhou
[2] School of Information Management and Artificial Intelligence, Zhejiang University of Finance and Economics, Hangzhou
[3] State Key Laboratory of CAD&CG, Zhejiang University, Hangzhou
来源：
Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics | 2020年 / 32卷 / 02期
关键词：
Mental health of college students; SymptomChecklist90; Uncertainty; University personality inventory; Visibility analysis;
D O I：
10.3724/SP.J.1089.2020.17929
中图分类号：
学科分类号：
摘要：
A variety of mental health questionnaires are widely used for the diagnosis and treatment of potential mental disorder and illness of college students, such as University Personality Inventory (UPI) and Symptom Checklist90 (SCL-90). Different questionnaires get insights into mental health status from different perspectives, the results of which easily conflict with each other, making it challenging to conduct comprehensive investigation, collaborative analysis and precise treatment for mental health of college students. In this paper, we propose a visual analytics system to achieve the correlation of different categories of questionnaires and reduce the uncertainty of mental health analysis. Firstly, a Circos view is designed to visualize the answers and associations of multi-source questionnaires for individuals. Then, a parallel coordinate system is employed to present the distribution questionnaires and the correlation of questionnaires is further evaluated to optimize the arrangement of coordinate axes. According to the answer distribution, a dimensionality reduction method is utilized to present the dissimilarity of students across different questionnaires. The uncertainty generated from multi-source questionnaire analysis is evaluated based on the geometric difference in the low-dimensional space, which is further highlighted through color mapping, enabling users to easily focus on those students with uncertain analysis results. Finally, we implement a visual analytics framework for multi-source questionnaire exploration, with the above-mentioned questionnaire designs and analysis models integrated. A rich set of user interactions are further provided, allowing users to achieve comprehensive judgment and tracking analysis of mental health status of college students. The effectiveness and practicability are demonstrated through case studies with real-world multi-source questionnaire datasets and the feedback of domain experts. © 2020, Beijing China Science Journal Publishing Co. Ltd. All right reserved.
引用
收藏
页码：181 / 193
页数：12
相关论文
共 29 条
  • [1] Chen W., Data visualization and visual analysis, Financial Computerizing, 11, pp. 62-65, (2015)
  • [2] Ren L., Du Y., Ma S., Et al., Visual analytics towards big data, Journal of Software, 25, 9, pp. 1909-1936, (2014)
  • [3] Zhou Z.G., Zhu X.J., Liu Y.H., Et al., VisUPI: visual analytics for university personality inventory data, Journal of Visualization, 21, 5, pp. 885-901, (2018)
  • [4] Lei H., Chen H., Xu J., Et al., A survey on uncertainty visualization, Journal of Computer-Aided Design & Computer Graphics, 25, 3, pp. 294-303, (2013)
  • [5] Liu Y., Wu S., Li Y., Et al., A survey of mental symptoms of Chinese population based on SCL-90, Chinese Mental Health Journal, 32, 5, pp. 437-441, (2018)
  • [6] Pedrelli P., Nyer M., Yeung A., Et al., College students: mental health problems and treatment considerations, Academic Psychiatry, 39, 5, pp. 503-511, (2015)
  • [7] Selvaraj P.R., Bhat C.S., Predicting the mental health of college students with psychological capital, Journal of Mental Health, 27, 3, pp. 279-287, (2018)
  • [8] Luo L., Zhu Y., Li C., Et al., An investigation into Hainan college students' mental health, Psychological Science, 32, 5, pp. 1265-1266, (2009)
  • [9] Wu S., Zhao H., The relationship between life stress, depression and suicide ideation among undergraduates, Modern Prevention Medicine, 36, 15, (2009)
  • [10] Li L., Zhang Z., A study on mental health of freshmen in independent college, Modern Preventive Medicine, 39, 8, pp. 1960-1963, (2012)
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