Fitts’ law in the presence of interface inertia

Sutjipto, S; Lai, Y; Carmichael, M; Paul, G

Fitts’ law in the presence of interface inertia

Sutjipto, S Lai, Y

Carmichael, M Paul, G

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020, pp. 4749-4752
Issue Date:: 2020-08-27

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Field	Value	Language
dc.contributor.author	Sutjipto, S
dc.contributor.author	Lai, Y https://orcid.org/0000-0002-9381-5836
dc.contributor.author	Carmichael, M
dc.contributor.author	Paul, G
dc.date	2020-07-20
dc.date.accessioned	2021-01-19T00:21:18Z
dc.date.available	2021-01-19T00:21:18Z
dc.date.issued	2020-08-27
dc.identifier.citation	2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020, pp. 4749-4752
dc.identifier.isbn	978-1-7281-1990-8
dc.identifier.issn	2694-0604
dc.identifier.uri	http://hdl.handle.net/10453/145472
dc.description.abstract	Collaborative robots are advancing the healthcare frontier, in applications such as rehabilitation and physical therapy. Effective physical collaboration in human-robot systems require an understanding of partner intent and capability. Various modalities exist to convey such information between human agents, however, natural interactions between humans and robots are difficult to characterise and achieve. To enhance inter-agent communication, predictive models for human movement have been devised. One such model is Fitts' law. Many works using Fitts' law rely on massless interfaces. However, this coupling between human and robot, and the inertial effects experienced, may affect the predictive ability of Fitts' law. Experiments were conducted on human-robot dyads during a target-directed force exertion task. From the interactions, the results indicate that there is no observable effect regarding Fitts' law's predictive ability.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
dc.relation.ispartof	Annual International Conference of the IEEE Engineering in Medicine & Biology Society
dc.relation.isbasedon	10.1109/EMBC44109.2020.9176195
dc.rights	© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	Fitts’ law in the presence of interface inertia
dc.type	Conference Proceeding
utslib.location.activity	Montreal, QC, Canada, Canada
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	open_access	*
pubs.consider-herdc	true
utslib.copyright.embargo	2022-08-31T00:00:00+1000Z
dc.date.updated	2021-01-19T00:20:47Z
pubs.finish-date	2020-07-24
pubs.publication-status	Published
pubs.start-date	2020-07-20

Abstract:

Collaborative robots are advancing the healthcare frontier, in applications such as rehabilitation and physical therapy. Effective physical collaboration in human-robot systems require an understanding of partner intent and capability. Various modalities exist to convey such information between human agents, however, natural interactions between humans and robots are difficult to characterise and achieve. To enhance inter-agent communication, predictive models for human movement have been devised. One such model is Fitts' law. Many works using Fitts' law rely on massless interfaces. However, this coupling between human and robot, and the inertial effects experienced, may affect the predictive ability of Fitts' law. Experiments were conducted on human-robot dyads during a target-directed force exertion task. From the interactions, the results indicate that there is no observable effect regarding Fitts' law's predictive ability.

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http://hdl.handle.net/10453/145472