Do I trust my machine teammate? An investigation from perception to decision

Yu, K; Berkovsky, S; Taib, R; Zhou, J; Chen, F

Do I trust my machine teammate? An investigation from perception to decision

Yu, K

Berkovsky, S Taib, R Zhou, J

Chen, F

Permalink

Publication Type:: Conference Proceeding
Citation:: International Conference on Intelligent User Interfaces, Proceedings IUI, 2019, Part F147615 pp. 460 - 468
Issue Date:: 2019-01-01

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download Accepted manuscriptAdobe PDF (828.32 kB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Yu, K https://orcid.org/0000-0001-5138-6749	en_US
dc.contributor.author	Berkovsky, S	en_US
dc.contributor.author	Taib, R	en_US
dc.contributor.author	Zhou, J https://orcid.org/0000-0001-6034-644X	en_US
dc.contributor.author	Chen, F https://orcid.org/0000-0003-4971-8729	en_US
dc.date.issued	2019-01-01	en_US
dc.identifier.citation	International Conference on Intelligent User Interfaces, Proceedings IUI, 2019, Part F147615 pp. 460 - 468	en_US
dc.identifier.uri	http://hdl.handle.net/10453/131877
dc.description.abstract	© 2019 Copyright held by the owner/author(s). In the human-machine collaboration context, understanding the reason behind each human decision is critical for interpreting the performance of the human-machine team. Via an experimental study of a system with varied levels of accuracy, we describe how human trust interplays with system performance, human perception and decisions. It is revealed that humans are able to perceive the performance of automatic systems and themselves, and adjust their trust levels according to the accuracy of systems. The 70% system accuracy suggests to be a threshold between increasing and decreasing human trust and system usage. We have also shown that trust can be derived from a series of users' decisions rather than from a single one, and relates to the perceptions of users. A general framework depicting how trust and perception affect human decision making is proposed, which can be used as future guidelines for human-machine collaboration design.	en_US
dc.relation.ispartof	International Conference on Intelligent User Interfaces, Proceedings IUI	en_US
dc.relation.isbasedon	10.1145/3301275.3302277	en_US
dc.title	Do I trust my machine teammate? An investigation from perception to decision	en_US
dc.type	Conference Proceeding
utslib.citation.volume	Part F147615	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US
pubs.volume	Part F147615	en_US

Abstract:

© 2019 Copyright held by the owner/author(s). In the human-machine collaboration context, understanding the reason behind each human decision is critical for interpreting the performance of the human-machine team. Via an experimental study of a system with varied levels of accuracy, we describe how human trust interplays with system performance, human perception and decisions. It is revealed that humans are able to perceive the performance of automatic systems and themselves, and adjust their trust levels according to the accuracy of systems. The 70% system accuracy suggests to be a threshold between increasing and decreasing human trust and system usage. We have also shown that trust can be derived from a series of users' decisions rather than from a single one, and relates to the perceptions of users. A general framework depicting how trust and perception affect human decision making is proposed, which can be used as future guidelines for human-machine collaboration design.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/131877