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User Evaluation of a Shared Robot Control System Combining BCI and Eye Tracking in a Portable Augmented Reality User

Arnau Dillen1,2,3, Mohsen Omidi3,4, Fakhreddine Ghaffari2

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Summary

This study explored brain-computer interfaces (BCI) and eye tracking for assistive robots, finding eye tracking superior for user autonomy and efficiency in individuals with motor impairments.

Keywords:
assistive roboticsaugmented realitybrain-computer interfacehuman-robot interactionshared controlusabilityuser evaluationuser experience

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Area of Science:

  • Robotics
  • Neuroscience
  • Human-Computer Interaction

Background:

  • Assistive robotics aim to enhance autonomy for individuals with physical disabilities, particularly those with impaired motor function.
  • Current control methods can be limiting for users with severe motor impairments.

Purpose of the Study:

  • To evaluate an integrated shared control system combining brain-computer interface (BCI) and eye tracking for assistive robotics.
  • To enhance the autonomy and usability of assistive robots for individuals with physical disabilities.

Main Methods:

  • Developed a shared control system integrating BCI (interpreting electroencephalography signals) and eye tracking (identifying focus) for a mobile augmented reality interface.
  • Assessed real-world usability and compared the integrated system against an eye-tracking-only system.

Main Results:

  • Eye tracking demonstrated a perfect success rate and significantly lower completion times compared to BCI (0.83 success rate).
  • User experience favored eye tracking in subjective evaluations, with higher reported fatigue associated with BCI use.
  • The integrated control strategy showed potential for real-world deployment despite BCI performance limitations.

Conclusions:

  • While eye tracking outperformed BCI in this study, the integrated control strategy is valid and shows promise for improving autonomy in assistive robotics.
  • Further advancements in BCI technology are needed to match the effectiveness of eye tracking for assistive robot control.