Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 77 tok/s
Gemini 2.5 Pro 56 tok/s Pro
GPT-5 Medium 33 tok/s Pro
GPT-5 High 21 tok/s Pro
GPT-4o 107 tok/s Pro
Kimi K2 196 tok/s Pro
GPT OSS 120B 436 tok/s Pro
Claude Sonnet 4.5 34 tok/s Pro
2000 character limit reached

Embodied Supervision: Haptic Display of Automation Command to Improve Supervisory Performance (2402.18707v1)

Published 28 Feb 2024 in cs.HC and cs.RO

Abstract: A human operator using a manual control interface has ready access to their own command signal, both by efference copy and proprioception. In contrast, a human supervisor typically relies on visual information alone. We propose supplying a supervisor with a copy of the operators command signal, hypothesizing improved performance, especially when that copy is provided through haptic display. We experimentally compared haptic with visual access to the command signal, quantifying the performance of N equals 10 participants attempting to determine which of three reference signals was being tracked by an operator. Results indicate an improved accuracy in identifying the tracked target when haptic display was available relative to visual display alone. We conjecture the benefit follows from the relationship of haptics to the supervisor's own experience, perhaps muscle memory, as an operator.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (14)
  1. L. Bainbridge, “Ironies of automation,” in Analysis, design and evaluation of man–machine systems.   Elsevier, 1983, pp. 129–135.
  2. T. B. Sheridan, “Human supervisory control,” Handbook of human factors and ergonomics, pp. 990–1015, 2012.
  3. J. Y. Chen, M. J. Barnes, and M. Harper-Sciarini, “Supervisory control of multiple robots: Human-performance issues and user-interface design,” IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), vol. 41, no. 4, pp. 435–454, 2010.
  4. T. B. Sheridan, “Human–robot interaction: status and challenges,” Human factors, vol. 58, no. 4, pp. 525–532, 2016.
  5. B. Bridgeman, “Efference copy and its limitations,” Computers in biology and medicine, vol. 37, no. 7, pp. 924–929, 2007.
  6. H. Imamizu, “Prediction of sensorimotor feedback from the efference copy of motor commands: A review of behavioral and functional neuroimaging studies,” Japanese Psychological Research, vol. 52, no. 2, pp. 107–120, 2010.
  7. A. Rolnick and R. Lubow, “Why is the driver rarely motion sick? the role of controllability in motion sickness,” Ergonomics, vol. 34, no. 7, pp. 867–879, 1991.
  8. E. von Holst and H. Mittelstaedt, “The principle of reafference: Interactions between the central nervous system and the peripheral organs,” Perceptual processing: Stimulus equivalence and pattern recognition, pp. 41–72, 1971.
  9. M. Jeannerod and M. Arbib, “Action monitoring and forward control of movements,” The handbook of brain theory and neural networks, pp. 83–85, 2003.
  10. P. G. Griffiths and R. B. Gillespie, “Sharing control between humans and automation using haptic interface: Primary and secondary task performance benefits,” Human factors, vol. 47, no. 3, pp. 574–590, 2005.
  11. D. A. Abbink, M. Mulder, and E. R. Boer, “Haptic shared control: smoothly shifting control authority?” Cognition, Technology & Work, vol. 14, pp. 19–28, 2012.
  12. D. T. McRuer, “Human pilot dynamics in compensatory systems-theory, models, and experiments with controlled element and forcing function variations,” AFFDL-TR-65-15, 1965.
  13. D. T. McRuer and H. R. Jex, “A review of quasi-linear pilot models,” IEEE transactions on human factors in electronics, no. 3, pp. 231–249, 1967.
  14. D. T. McRuer and E. S. Krendel, “Mathematical models of human pilot behavior.”   AGARD, 1974.

Summary

We haven't generated a summary for this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Don't miss out on important new AI/ML research

See which papers are being discussed right now on X, Reddit, and more:

“Emergent Mind helps me see which AI papers have caught fire online.”

Philip

Philip

Creator, AI Explained on YouTube