Exploring Subjective Well-Being in Human-Machine Interaction: Protocol for a Mixed Methods, Cross-Sectional Analysis...

Area of Science:

• Human-Computer Interaction
• Occupational Health Psychology
• Manufacturing Technology

Background:

• Operator well-being in advanced manufacturing remains under-researched, with limited studies on subjective well-being and reliance on single data collection methods.
• Previous research on human-machine interaction (HMI) has primarily focused on trust and acceptance, neglecting the psychological states of manufacturing operators.
• The complex cognitive and affective states of operators interacting with advanced production technologies require a more holistic investigation.

Purpose of the Study:

• To examine operators' subjective well-being within manufacturing companies, focusing on HMI fluency, negative technology attitudes, and coworker relationships.
• To address the gap in understanding the interplay between HMI, operator attitudes, social dynamics, and psychological well-being in advanced manufacturing settings.
• To develop a comprehensive understanding of workplace dynamics influencing operator well-being in the context of Industry 5.0.

Main Methods:

• A mixed methods approach combining quantitative digital surveys with qualitative semistructured interviews.
• Quantitative data analyzed using path analysis to explore mediating roles of HMI fluency and negative attitudes on well-being.
• Qualitative data analyzed through thematic analysis and text-mining techniques to explore lived experiences with HMI.

Main Results:

• Hypothesized that HMI fluency positively impacts affective well-being, while negative attitudes toward technology may increase psychological distress.
• Anticipated qualitative insights would enrich quantitative findings, leading to a comprehensive analysis of operator experiences.
• Aims to generate a consensus report for practical workplace policies and training to enhance well-being and HMI.

Conclusions:

• Prioritizing human-centricity in Industry 5.0 requires early detection of psychological issues to foster operator well-being.
• Proactive identification and prevention of mental health challenges are crucial for operators engaged in HMI.
• Creating a supportive workplace environment is essential for the mental well-being of manufacturing personnel.