Enhancing Mental Well-Being through AI Services in Smart Logistics: A Psychological Needs-Based Framework for New Quality Productivity
Bing XueAbstract
Objective
This study aims to develop an AI service framework for smart logistics that addresses users' psychological needs, with a specific focus on reducing work-related stress and enhancing mental well-being while improving logistics productivity. The research examines how psychological factors influence human-AI interaction quality and workforce sustainability.
Subjects and Methods
A mixed-methods approach was employed, combining surveys with 500 logistics professionals and in-depth interviews with 30 industry experts. Psychological needs were assessed using validated scales measuring autonomy, competence, relatedness, and psychological stress levels. The study incorporated physiological indicators of stress response and mental fatigue monitoring during human-AI collaboration tasks. Data analysis included structural equation modeling and content analysis of psychological stress patterns.
Results
AI services designed around psychological needs significantly improved both operational outcomes and mental health indicators. The framework reduced psychological stress by 35% and decreased mental fatigue by 28%, while improving task efficiency by 42%. Physiological data showed that stress-related biomarkers were reduced by 31% when using the optimized system. Participants reported higher job satisfaction and better mental well-being, with a 45% improvement in work engagement scores.
Conclusions
Integrating psychological needs into AI service design effectively enhances both productivity and mental health outcomes in smart logistics. Organizations should prioritize psychological well-being alongside technological innovation to achieve sustainable development in the logistics industry.
Corresponding Author
Bing Xue, Department of Business and Administration, Jinan Engineering Polytechnic, Jinan, Shandong, 250200, China.