Construction and Application of Mental Model of  Career Decision Making Based on Artificial Intelligence

Biao Wang

doi:10.26689/sds.v1i1.12417

Biao Wang 1 Zibo Housing Provident Fund Management Center, Zibo 255000, Shandong, China 2 “Silk Road” International University of Tourism and Cultural Heritage, Samarkand 140104, Republic of Uzbekistan

DOI: https://doi.org/10.26689/sds.v1i1.12417

Keywords: DeepSeek; Career assessment; Customer mental model; Artificial intelligence; Career decision support

Abstract

In the era of new technology, career assessment services are faced with the challenge of diversified and personalized needs of customers, which requires a new theoretical perspective to respond [1]. Based on DeepSeek artificial intelligence technology driven career assessment as the background, this paper discusses the construction method and significance of career assessment enterprise customer mental model. Starting from the theoretical basis of mental model, this paper analyzes the cognitive, behavioral and emotional components of customer mental model and its role in career assessment service, and expounds the theoretical contribution of DeepSeek and other artificial intelligence technologies to the construction of mental model. Research shows that big data analysis based on artificial intelligence can describe the implicit psychological model of customers, enrich the theoretical tools for career decision support, and help realize the accuracy and individuation of career assessment services [2]. This study provides new ideas for the transformation of career assessment industry, reveals the theoretical significance of integrating customer mental model into career planning service to improve decision support effect, and looks forward to the future development direction of career assessment service driven by artificial intelligence.

References

Gao R, Wang K, Zhang Y, et al, 2021, Vocational Situational Practical education Theory based on discipline literacy training: A new perspective of career planning education in China. Progress in Education, 11(4), 982-989.

Wu S, 2022, Artificial Intelligence contributes to the reform and innovation of psychological assessment in the new era. Advances in Psychology, 12(9), 3144-3148.

National Career Credit Evaluation Network, 2025, "Career AI", the first large model of youth career planning in China, was successfully launched. (2025-02-07) Industry news of Career Credit Network.

Gati, I., & Kulcsár, V., 2021, Making better career decisions: From challenges to opportunities. Journal of Vocational Behavior, 126, 103545.

Pan K, Zeng J, Liu Y, Huang X, Gao R, 2021, Big data and artificial intelligence enable the transformation and upgrading of application-oriented psychological assessment in the new era. Frontiers in Social Science, 10(7), 1839-1844.

Johnson-Laird, P. N.,1983, Mental Models: Towards a Cognitive Science of Language, Inference, and Consciousness. Cambridge, MA: Harvard University Press.

Li C, 2022, The concept and application of mental model in organizational management. Progress in Psychology, 12(9), 3120-3130.

Bagozzi, R. P., Wong, N., & Yi, Y., 1999, The role of culture and gender in the relationship between positive and negative affect. Cognition and Emotion, 13(6), 641-672.

Norman, D. A. ,1983, Some Observations on Mental Models. In D. Gentner & A. Stevens (Eds.), Mental Models, 7-14. Hillsdale, NJ: Lawrence Erlbaum.

Zhu S, 2024, Research on interface optimization of automatic transplanter based on user mental model. Design, 9(1), 640-649.

Jiang A, Luo J, Liang J, 2021, Comparison between cloud-based psychological assessment methods and traditional psychological assessment methods. Chinese and Foreign Medical Research, (7), 166-169.

Jiang LM, Tian XT, Ren P, et al., 2022, New mental health assessment with the assistance of artificial intelligence. Advances in Psychological Science, 30(1), 157-167.

Suomala, J., & Kauttonen, J., 2022, Human’s intuitive mental models as a source of realistic artificial intelligence and engineering. Frontiers in Psychology, 13, 873289.

Li J L, Fan X Z, 2024, Application of artificial intelligence in career planning and implications for nursing education. Chinese Journal of Nursing Education, 21(9), 1072-1075.

Bankins, S., Jooss S., Restubog S.L.D. et al., 2024, Navigating career stages in the age of artificial intelligence: A systematic interdisciplinary review and agenda for future research. Journal of Vocational Behavior, 142, 103770.