Human-human haptic collaboration in cyclical Fitts' tasks

Sommer Gentry; Eric Feron; Roderick Murray-Smith

doi:10.1109/IROS.2005.1545064

Human-human haptic collaboration in cyclical Fitts' tasks

Sommer Gentry, Eric Feron, Roderick Murray-Smith

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

21 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 language	English (US)
Title of host publication	2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS
Publisher	IEEE Computer [email protected]
Pages	3402-3407
Number of pages	6
ISBN (Print)	0780389123
DOIs	https://doi.org/10.1109/IROS.2005.1545064
State	Published - Jan 1 2005
Externally published	Yes

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10.1109/IROS.2005.1545064

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title = "Human-human haptic collaboration in cyclical Fitts' tasks",

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. {\textcopyright} 2005 IEEE.",

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AU - Murray-Smith, Roderick

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AB - 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.

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DO - 10.1109/IROS.2005.1545064

M3 - Conference contribution

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BT - 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS

PB - IEEE Computer [email protected]

ER -

Human-human haptic collaboration in cyclical Fitts' tasks

Abstract

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