Haptic cooperation between people, and between people and machines

Kyle B. Reed*, Michael Peshkin, Mitra J. Hartmann, James Patton, Peter M. Vishton, Marcia Grabowecky

*Corresponding author for this work

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

42 Scopus citations

Abstract

Haptic interaction between people and machines might benefit from an understanding of haptic communication between one person and another. We recently reported results showing that two people performing a physically shared dyadic task can outperform either person alone, even when the perception of each participant is that the other is a hindrance [1]. Evidently a dyad quickly negotiates a more efficient motion strategy than is available to individuals. This negotiation must take place through a haptic channel of communication, and it is apparently at a level below the awareness of the participants. Here we report results on the motion strategy that emerged. By recording forces and motions we show that the dyads "specialized" temporally such that one member took on early parts of the motion and the other late parts. Tests in which one participant's contribution was surreptitiously replaced by a motor did not elicit a similar cooperative response from the remaining human participant, showing that the language of haptic communication between people must be rather subtle.

Original languageEnglish (US)
Title of host publication2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006
Pages2109-2114
Number of pages6
DOIs
StatePublished - 2006
Event2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006 - Beijing, China
Duration: Oct 9 2006Oct 15 2006

Publication series

NameIEEE International Conference on Intelligent Robots and Systems

Other

Other2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006
CountryChina
CityBeijing
Period10/9/0610/15/06

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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