Human-human haptic collaboration in cyclical Fitts' tasks

Sommer Gentry, Eric Feron, Roderick Murray-Smith

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Understanding how humans assist each other in haptic interaction teams could lead to improved robotic aids to solo human dextrous manipulation. Inspired by experiments re- ported in Reed et al. [1], which suggested two-person haptically interacting teams could achieve a lower movement time (MT) than individuals for discrete aiming movements of specified accuracy, we report that two-person teams (dyads) can also achieve lower MT for cyclical, continuous aiming movements. We propose a model, called endpoint compromise, for how the intended endpoints of both subjects' motion combine during haptic interaction; it predicts a ratio of √2 between slopes of MT fits for individuals and dyads. This slope ratio prediction is supported by our data.

Original languageEnglish (US)
Title of host publication2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS
Pages710-715
Number of pages6
DOIs
StatePublished - Dec 1 2005
Externally publishedYes
EventIEEE IRS/RSJ International Conference on Intelligent Robots and Systems, IROS 2005 - Edmonton, AB, Canada
Duration: Aug 2 2005Aug 6 2005

Publication series

Name2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS

Other

OtherIEEE IRS/RSJ International Conference on Intelligent Robots and Systems, IROS 2005
CountryCanada
CityEdmonton, AB
Period8/2/058/6/05

Keywords

  • Fitts' law
  • Haptic interaction
  • Human-human collaboration
  • Rhythm
  • Rhythmic interaction

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Control and Systems Engineering

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  • Cite this

    Gentry, S., Feron, E., & Murray-Smith, R. (2005). Human-human haptic collaboration in cyclical Fitts' tasks. In 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS (pp. 710-715). [1545064] (2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS). https://doi.org/10.1109/IROS.2005.1545064