Human-human haptic collaboration in cyclical Fitts' tasks

Gentry, S., Feron, E. and Murray-Smith, R. (2005) Human-human haptic collaboration in cyclical Fitts' tasks. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Cambridge, MA, USA, 2-6 August 2005, pp. 3402-3407. ISBN 0780389123 (doi: 10.1109/IROS.2005.1545064)

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 reported in Reed et al. (2004), 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 /spl radic/2 between slopes of MT fits for individuals and dyads. This slope ratio prediction is supported by our data.

• Item Type: Conference Proceedings
• Keywords: Fitts' law, haptic interaction, human-human collaboration, rhythmic, rhythmic interaction
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Murray-Smith, Professor Roderick
• Authors: Gentry, S., Feron, E., and Murray-Smith, R.
• Subjects: T Technology > TJ Mechanical engineering and machinery
• College/School: College of Science and Engineering > School of Computing Science
• Publisher: Institute of Electrical and Electronics Engineers (IEEE)
• ISBN: 0780389123
• Copyright Holders: Copyright © 2005 Institute of Electrical and Electronics Engineers (IEEE)
• First Published: First published in IEEE/RSJ International Conference on Intelligent Robots and Systems
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher