PSYCHOLOGICAL ADAPTATION AND OCCUPATIONAL MENTAL HEALTH: EVALUATING OPERATORS IN AUTOMATED FEED PRODUCTION PACKAGING SYSTEMS AND PROPOSING INTERVENTION STRATEGIES

Abstract Objective This study aims to evaluate the psychological adaptation challenges—including stress, cognitive workload, and skill atrophy—faced by operators in automated feed production packaging systems, and to propose evidence-based interventions to mitigate negative impacts, enhance job satisfaction, and promote occupational mental health. Subjects and Methods A mixed-methods approach was employed over six months with 85 operators at a large-scale feed production plant. Quantitative data were collected using psychometric scales (NASA-TLX for cognitive workload, Perceived Stress Scale) and physiological monitoring (heart rate variability). Qualitative insights were gathered via semi-structured interviews (n = 25) and group discussions. A randomized controlled trial (RCT) was conducted, where one group received a multifaceted intervention including simulator-based training, stress management workshops, and procedural adjustments for increased autonomy. Results Quantitative analysis revealed significant correlations between automation and elevated cognitive workload (p<.01) and stress (p<.05), alongside reports of monotony and reduced agency. Post-intervention, the experimental group showed significant reductions in NASA-TLX (p<.01) and stress scores (p<.05), supported by improved physiological stress indicators. Qualitative themes highlighted challenges like “alert fatigue” and “skill degradation,” while post-intervention themes emphasized “increased confidence” and “better coping mechanisms.” Conclusions Automation in feed packaging systems poses significant psychological adaptation challenges. Proactive interventions—including skills training, psychological support, and job redesign—effectively enhance operators’ mental well-being and operational resilience. Implementing such strategies is essential for workforce health and sustained system efficiency. Acknowledgments Research on automation of feed packaging for small and medium-sized enterprises Project number LJKZ1348.