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Artificial Intelligence Analysis of Outdoor Sports Risk Self-Assessment on Insurance Psychology

The development potential of China’s medical insurance market is huge, and the research on medical insurance demand has always been the focus of academic discussions. As a result, the discipline of behavioral economics is derived, which aims to explain the decision-making behavior of individual insu...

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Autores principales: Chen, Zhiling, Dai, Xinghong, Tan, Zhigang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9959657/
https://www.ncbi.nlm.nih.gov/pubmed/36833843
http://dx.doi.org/10.3390/ijerph20043140
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author Chen, Zhiling
Dai, Xinghong
Tan, Zhigang
author_facet Chen, Zhiling
Dai, Xinghong
Tan, Zhigang
author_sort Chen, Zhiling
collection PubMed
description The development potential of China’s medical insurance market is huge, and the research on medical insurance demand has always been the focus of academic discussions. As a result, the discipline of behavioral economics is derived, which aims to explain the decision-making behavior of individual insurance consumption. Among them, the focus of this study was to investigate the influence of individual psychological characteristics and cognitive level on insurance behavior under the difference of reference points. This paper combined behavioral insurance, actuarial mathematics and the econometrics knowledge system, comprehensive theoretical analysis, and empirical tests and analyzed the impact mechanism of individual frame effect on medical insurance demand under different reference points at multiple levels. At the same time, based on the risk self-assessment of outdoor sports, the artificial intelligence of insurance psychology was analyzed. Based on the correlation vector machine algorithm and the theoretical basis combined with the dual perspective of insurance products, the expected utility model was established under the “guarantee framework”, and the prospect theoretical model was established under the “profit and loss framework”. The framing effect was used to measure the relative size of “guarantee utility” and “profit and loss utility”, and a high-insurance-rate model and a low-insurance-rate model were established. The theoretical model analysis found that under the high insurance rate, because the “profit and loss utility” is positive, the size of the individual frame effect is positively correlated with the willingness to insure. Under the low insurance rate, because the “profit and loss utility” is negative, the size of the individual frame effect is negatively correlated with the willingness to insure. The research results of this paper show that insurance is an important beginning of insurance consumption behavior, which includes the complex mentality and emotion of consumers on insurance activities. The insurance demand of policyholders is formed by the joint action of external and internal incentives. Many factors such as income level and education level play an important role in insurance consumption decision making.
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spelling pubmed-99596572023-02-26 Artificial Intelligence Analysis of Outdoor Sports Risk Self-Assessment on Insurance Psychology Chen, Zhiling Dai, Xinghong Tan, Zhigang Int J Environ Res Public Health Article The development potential of China’s medical insurance market is huge, and the research on medical insurance demand has always been the focus of academic discussions. As a result, the discipline of behavioral economics is derived, which aims to explain the decision-making behavior of individual insurance consumption. Among them, the focus of this study was to investigate the influence of individual psychological characteristics and cognitive level on insurance behavior under the difference of reference points. This paper combined behavioral insurance, actuarial mathematics and the econometrics knowledge system, comprehensive theoretical analysis, and empirical tests and analyzed the impact mechanism of individual frame effect on medical insurance demand under different reference points at multiple levels. At the same time, based on the risk self-assessment of outdoor sports, the artificial intelligence of insurance psychology was analyzed. Based on the correlation vector machine algorithm and the theoretical basis combined with the dual perspective of insurance products, the expected utility model was established under the “guarantee framework”, and the prospect theoretical model was established under the “profit and loss framework”. The framing effect was used to measure the relative size of “guarantee utility” and “profit and loss utility”, and a high-insurance-rate model and a low-insurance-rate model were established. The theoretical model analysis found that under the high insurance rate, because the “profit and loss utility” is positive, the size of the individual frame effect is positively correlated with the willingness to insure. Under the low insurance rate, because the “profit and loss utility” is negative, the size of the individual frame effect is negatively correlated with the willingness to insure. The research results of this paper show that insurance is an important beginning of insurance consumption behavior, which includes the complex mentality and emotion of consumers on insurance activities. The insurance demand of policyholders is formed by the joint action of external and internal incentives. Many factors such as income level and education level play an important role in insurance consumption decision making. MDPI 2023-02-10 /pmc/articles/PMC9959657/ /pubmed/36833843 http://dx.doi.org/10.3390/ijerph20043140 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chen, Zhiling
Dai, Xinghong
Tan, Zhigang
Artificial Intelligence Analysis of Outdoor Sports Risk Self-Assessment on Insurance Psychology
title Artificial Intelligence Analysis of Outdoor Sports Risk Self-Assessment on Insurance Psychology
title_full Artificial Intelligence Analysis of Outdoor Sports Risk Self-Assessment on Insurance Psychology
title_fullStr Artificial Intelligence Analysis of Outdoor Sports Risk Self-Assessment on Insurance Psychology
title_full_unstemmed Artificial Intelligence Analysis of Outdoor Sports Risk Self-Assessment on Insurance Psychology
title_short Artificial Intelligence Analysis of Outdoor Sports Risk Self-Assessment on Insurance Psychology
title_sort artificial intelligence analysis of outdoor sports risk self-assessment on insurance psychology
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9959657/
https://www.ncbi.nlm.nih.gov/pubmed/36833843
http://dx.doi.org/10.3390/ijerph20043140
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