MHIVis: Visual analytics for exploring mental illness of policyholders in life insurance industry

Md Rafiqul ISLAM, Shaowu LIU, Imran RAZZAK, Muhammad Ashad KABIR, Xianzhi WANG, Peter TILOCCA, Guandong XU

Research output: Chapter in Book/Report/Conference proceedingChapters

8 Citations (Scopus)

Abstract

Stakeholders such as insurance managers (IMs) in the insurance industry are committed to yet lack the timely and actionable information for alleviating policyholder's mental health concerns and the industry's mental health climate. Existing research has revealed that depression, anxiety, stress, etc., can provide deeper insights into policyholders' mental health states. However, such data remain unexplored for supporting stakeholders and government goals. In this paper, we design an interactive visualization system to provide deeper insight into policyholder's mental health states. Our study has three implications: (i) insurance data are potentially useful for understanding policyholders' mental health; (ii) a dashboard-like visual representation is helpful for the decision-making of Stakeholders; and (iii) some insight into the mental health of Australians have been deduced. Finally, we evaluate the utility of our visualization system by comparing it's features with the existing dashboards. Copyright © 2020 IEEE.

Original languageEnglish
Title of host publicationProceedings of 2020 7th IEEE International Conference on Behavioural and Social Computing, BESC 2020
Place of PublicationUSA
PublisherIEEE
ISBN (Electronic)9781728186054
DOIs
Publication statusPublished - 2020

Citation

Islam, M. R., Liu, S., Razzak, I., Kabir, M. A., Wang, X., Tilocca, P., & Xu, G. (2020). MHIVis: Visual analytics for exploring mental illness of policyholders in life insurance industry. In Proceedings of 2020 7th IEEE International Conference on Behavioural and Social Computing, BESC 2020. IEEE. https://doi.org/10.1109/BESC51023.2020.9348301

Keywords

  • Mental health analysis
  • Data visualization
  • Multiple coordinated view
  • Insurance recommendation

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