Emotion-Aware Human-Machine Collaboration in Semi-Automated Industry 4.0 Settings

  • Authors

    • Dr. Shalini Gupta Associate Professor Panjab University, India. Author

    DOI:

    https://doi.org/10.67228/3142788X/IJMLPA-2019PI3M7N

    Published 05-03-2019

  • Industry 4.0, Human-Machine Collaboration, Affective Computing, Emotion Recognition, Semi-Automated Systems, Cyber-Physical Systems, Adaptive Automation, Smart Manufacturing, Human Factors Engineering, Worker Well-Being

    Issue

    Vol. 2 No. 1 (2019)

    Section

    Articles

    How to Cite

    [1]
    S. Gupta, “Emotion-Aware Human-Machine Collaboration in Semi-Automated Industry 4.0 Settings”, IJMLPA, vol. 2, no. 1, pp. 01–13, May 2019, doi: 10.67228/3142788X/IJMLPA-2019PI3M7N.

  • Abstract

    As Industry 4.0 advances the integration of cyber-physical systems and intelligent automation, the collaboration between humans and machines becomes increasingly critical. Traditional automation models often overlook the human emotional state, which plays a significant role in decision-making, efficiency, and safety in industrial settings. This paper explores emotion-aware human-machine collaboration in semi-automated environments, where humans and machines share control and responsibilities. By leveraging affective computing, wearable sensors, and real-time emotion recognition technologies, machines can adapt their behavior based on human emotional cues, leading to improved collaboration, productivity, and well-being. The paper proposes an emotion-aware collaborative framework, reviews key technologies, highlights challenges, and presents potential applications and ethical considerations. Experimental results and use-case analysis further demonstrate the practical implications of emotion-aware systems in smart manufacturing.

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