Developing a Human-Computer Interaction (HCI) Based Psychosocial Support System for Employment: Empirical Study of Young Public-Sector Employees in Western China

Abstract

Based on an empirical analysis of factors influencing public-sector employment among young adults in Western China, this study constructs a psychosocial support system that integrates Human-Computer Interaction (HCI) and Artificial Intelligence (AI) technologies. Using data from the China General Social Survey (CGSS) 2021, a sample of laborers aged 18–35 years in Western China was examined through binary logistic regression across two dimensions: human capital and family capital. Results show that undergraduate or higher education and Communist Party membership are key predictors of public-sector employment. Family capital, particularly parental public-sector background, exerts both direct influence and partial mediation through human capital, reflecting a resource-transmission mechanism. Findings also reveal a strong preference for public-sector jobs among youth, where marginal educational returns are modest and family capital plays a more decisive role. Based on the aforementioned empirical insights, this study innovatively proposes a digital support framework for human resource development in developing countries. The core of this framework is the construction of a human-computer interaction platform driven by artificial intelligence algorithms. Its innovation lies in the deep integration of two major modules: first, a personalized job recommendation and skills enhancement planning module aimed at reducing information asymmetry; and second, a pioneering psychosocial support module that utilizes affective computing and interactive dialogue technology to provide young job seekers with real-time anxiety monitoring, cognitive-behavioral interventions, adaptive adjustment strategies, and positive feedback incentives. By combining technological empowerment with managerial support, this framework aims to systematically enhance individuals' adaptability and competitiveness during the job preparation phase. It provides a technological solution with both theoretical basis and practical pathways to address the widespread problem of youth career development management in developing countries, exacerbated by unequal social capital.