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

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Summary
This summary is machine-generated.

This study explores operator well-being in advanced manufacturing, finding that human-machine interaction (HMI) fluency protects affective well-being, while negative technology attitudes worsen psychological distress. Early detection of issues is key for a human-centric Industry 5.0 workplace.

Keywords:
human-machine interactionmanufacturing 5.0operatorsprotocol studysubjective well-being

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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.