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A Comparison Between Two Different Approaches for a Collaborative Mixed-Virtual Environment in Industrial

Francesco De Pace1, Federico Manuri1, Andrea Sanna1

  • 1Dipartimento di Automatica e Informatica, Politecnico di Torino, Turin, Italy.

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Summary
This summary is machine-generated.

This study compares virtual human avatars and abstract icons for remote industrial training in a mixed-reality environment. Abstract icons are more effective for task completion, despite avatars enhancing presence.

Keywords:
augmented realitycollaborative environmentindustry 4.0interfacesmixed-realityshared-realityvirtual reality

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Area of Science:

  • Industrial Engineering
  • Human-Computer Interaction
  • Virtual Reality

Background:

  • Modern factories require enhanced product quality and reduced manufacturing/maintenance times.
  • Industrial robots are prevalent, but human workers are essential for training and maintenance.
  • Remote assistance systems are crucial for bridging skill gaps in industrial settings.

Purpose of the Study:

  • To evaluate a remote interaction system for industrial training in a collaborative mixed-reality (CMR) environment.
  • To compare the effectiveness of virtual human avatars versus abstract icons for remote guidance.
  • To assess user interaction within a Virtual Reality (VR) and Augmented Reality (AR) framework.

Main Methods:

  • A remote expert used VR to guide a local user equipped with AR.
  • Two interaction methods were compared: a virtual 3D human avatar and abstract 3D icons.
  • The virtual avatar could highlight components and animate instructions; icons visually suggested manipulations.

Main Results:

  • Preliminary results indicate abstract icons are more crucial for successful task completion than virtual avatars.
  • While virtual avatars may enhance the sense of presence (without audio), they are resource-intensive.
  • The interface requiring fewer development and management resources is preferable.

Conclusions:

  • Abstract icons are vital for effective remote industrial task guidance in mixed-reality environments.
  • The choice of interface should balance user presence with development efficiency.
  • Future research should consider optimizing resource-efficient, task-focused AR/VR training solutions.