Human-human haptic collaboration in cyclical Fitts' tasks

Sommer Gentry, Eric Feron, Roderick Murray-Smith

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

14 Scopus citations

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. © 2005 IEEE.
Original languageEnglish (US)
Title of host publication2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS
PublisherIEEE Computer Societyhelp@computer.org
Pages3402-3407
Number of pages6
ISBN (Print)0780389123
DOIs
StatePublished - Jan 1 2005
Externally publishedYes

Fingerprint Dive into the research topics of 'Human-human haptic collaboration in cyclical Fitts' tasks'. Together they form a unique fingerprint.

Cite this