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

Md Rafiqul Islam; Shaowu Liu; Imran Razzak; Ashad Kabir; Xianzhi Wang; Peter Tilocca; Guandong Xu

doi:10.1109/BESC51023.2020.9348301

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

Md Rafiqul Islam, Shaowu Liu, Imran Razzak, Ashad Kabir, Xianzhi Wang, Peter Tilocca, Guandong Xu

Research output: Book chapter/Published conference paper › Conference paper › peer-review

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.

Original language	English
Title of host publication	Proceedings of 2020 IEEE International Conference on Behavioural and Social Computing
Place of Publication	United States
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	50-53
Number of pages	4
ISBN (Electronic)	9781728186054
ISBN (Print)	9781728186061 (Print on demand)
DOIs	https://doi.org/10.1109/BESC51023.2020.9348301
Publication status	E-pub ahead of print - 2020
Event	The 7th International Conference on Behavioural and Social Computing : BESC 2020 - Bournemouth University (Virtual Conference), Bournemouth, United Kingdom Duration: 05 Nov 2020 → 07 Nov 2020 https://web.archive.org/web/20201101232532/http://besc-conf.org/2020/index.html

Conference

Conference	The 7th International Conference on Behavioural and Social Computing
Country/Territory	United Kingdom
City	Bournemouth
Period	05/11/20 → 07/11/20
Other	The 7th International Conference on Behavioural and Social Computing (BESC2020) will take place in Bournemouth United Kingdom, 5-7 November 2020. The conference is organized by Bournemouth University (Virtual Conference), UK. BESC aims to become a premier forum in which academic researchers and industry practitioners from data mining, artificial intelligence, statistics and analytics, business and marketing, finance and politics, and behavioral, economic, social and psychological sciences could present updated research efforts and progresses on foundational and emerging interdisciplinary topics of BESC, exchange new ideas and identify future research directions.
Internet address	https://web.archive.org/web/20201101232532/http://besc-conf.org/2020/index.html

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10.1109/BESC51023.2020.9348301

Cite this

Islam, M. R., Liu, S., Razzak, I., Kabir, 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 IEEE International Conference on Behavioural and Social Computing (pp. 50-53). Article 9348301 IEEE, Institute of Electrical and Electronics Engineers. Advance online publication. https://doi.org/10.1109/BESC51023.2020.9348301

@inproceedings{325844873890428cb76d6bd9660932da,

title = "MHIVis: Visual analytics for exploring mental illness of policyholders in life insurance industry",

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.",

keywords = "Mental health analysis, Data visualization, Mulitple coordinated view, Insurance recommendation",

author = "Islam, {Md Rafiqul} and Shaowu Liu and Imran Razzak and Ashad Kabir and Xianzhi Wang and Peter Tilocca and Guandong Xu",

note = "Includes bibliographical references.; The 7th International Conference on Behavioural and Social Computing : BESC 2020 ; Conference date: 05-11-2020 Through 07-11-2020",

year = "2020",

doi = "10.1109/BESC51023.2020.9348301",

language = "English",

isbn = "9781728186061 (Print on demand)",

pages = "50--53",

booktitle = "Proceedings of 2020 IEEE International Conference on Behavioural and Social Computing",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States",

url = "https://web.archive.org/web/20201101232532/http://besc-conf.org/2020/index.html",

}

Islam, MR, Liu, S, Razzak, I, Kabir, 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 IEEE International Conference on Behavioural and Social Computing., 9348301, IEEE, Institute of Electrical and Electronics Engineers, United States, pp. 50-53, The 7th International Conference on Behavioural and Social Computing , Bournemouth, United Kingdom, 05/11/20. https://doi.org/10.1109/BESC51023.2020.9348301

MHIVis: Visual analytics for exploring mental illness of policyholders in life insurance industry. / Islam, Md Rafiqul; Liu, Shaowu; Razzak, Imran et al.
Proceedings of 2020 IEEE International Conference on Behavioural and Social Computing. United States: IEEE, Institute of Electrical and Electronics Engineers, 2020. p. 50-53 9348301.

Research output: Book chapter/Published conference paper › Conference paper › peer-review

TY - GEN

T1 - MHIVis

T2 - The 7th International Conference on Behavioural and Social Computing

AU - Islam, Md Rafiqul

AU - Liu, Shaowu

AU - Razzak, Imran

AU - Kabir, Ashad

AU - Wang, Xianzhi

AU - Tilocca, Peter

AU - Xu, Guandong

N1 - Includes bibliographical references.

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Mental health analysis

KW - Data visualization

KW - Mulitple coordinated view

KW - Insurance recommendation

UR - http://besc-conf.org/2020/accepted_papers.html

U2 - 10.1109/BESC51023.2020.9348301

DO - 10.1109/BESC51023.2020.9348301

M3 - Conference paper

SN - 9781728186061 (Print on demand)

SP - 50

EP - 53

BT - Proceedings of 2020 IEEE International Conference on Behavioural and Social Computing

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - United States

Y2 - 5 November 2020 through 7 November 2020

ER -

Islam MR, Liu S, Razzak I, Kabir A, Wang X, Tilocca P et al. MHIVis: Visual analytics for exploring mental illness of policyholders in life insurance industry. In Proceedings of 2020 IEEE International Conference on Behavioural and Social Computing. United States: IEEE, Institute of Electrical and Electronics Engineers. 2020. p. 50-53. 9348301 Epub 2020. doi: 10.1109/BESC51023.2020.9348301

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

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