Do I trust a machine? Differences in user trust based on system performance

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

Do I trust a machine? Differences in user trust based on system performance

Yu, K

Berkovsky, S Conway, D Taib, R Zhou, J

Chen, F

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Publisher:: Springer
Publication Type:: Chapter
Citation:: Human and Machine Learning, 2018, pp. 245 - 264
Issue Date:: 2018

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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	Conway, D	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	2018	en_US
dc.identifier.citation	Human and Machine Learning, 2018, pp. 245 - 264	en_US
dc.identifier.isbn	978-3-319-90402-3	en_US
dc.identifier.uri	http://hdl.handle.net/10453/132519
dc.description.abstract	Trust plays an important role in various user-facing systems and applications. It is particularly important in the context of decision support systems, where the system’s output serves as one of the inputs for the users’ decision making processes. In this chapter, we study the dynamics of explicit and implicit user trust in a simulated automated quality monitoring system, as a function of the system accuracy. We establish that users correctly perceive the accuracy of the system and adjust their trust accordingly. The results also show notable differences between two groups of users and indicate a possible threshold in the acceptance of the system. This important learning can be leveraged by designers of practical systems for sustaining the desired level of user trust.	en_US
dc.publisher	Springer	en_US
dc.relation.ispartof	Human and Machine Learning	en_US
dc.relation.isbasedon	10.1007/978-3-319-90403-0_12	en_US
dc.title	Do I trust a machine? Differences in user trust based on system performance	en_US
dc.type	Chapter
utslib.location	Switzerland	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	closed_access
pubs.consider-herdc	false	en_US
pubs.place-of-publication	Switzerland	en_US
pubs.publication-status	Published	en_US

Abstract:

Trust plays an important role in various user-facing systems and applications. It is particularly important in the context of decision support systems, where the system’s output serves as one of the inputs for the users’ decision making processes. In this chapter, we study the dynamics of explicit and implicit user trust in a simulated automated quality monitoring system, as a function of the system accuracy. We establish that users correctly perceive the accuracy of the system and adjust their trust accordingly. The results also show notable differences between two groups of users and indicate a possible threshold in the acceptance of the system. This important learning can be leveraged by designers of practical systems for sustaining the desired level of user trust.

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

http://hdl.handle.net/10453/132519