An Empirical Study Exploring Difference in Trust of Perceived Human and Intelligent System Partners Elson, Joel Derrick, Douglas Merino, Luis 2020-12-24T18:59:24Z 2020-12-24T18:59:24Z 2021-01-05
dc.description.abstract Intelligent systems are increasingly relied on as partners used to make decisions in business contexts. With advances in artificial intelligence technology and system interfaces, it is increasingly difficult to distinguish these system partners from their human counterparts. Understanding the role of perceived humanness and its impact on trust in these situations is important as trust is widely recognized as critical to system adoption and effective collaboration. We conducted an exploratory study involving individuals collaborating with an intelligent system partner to make several critical decisions. Measured trust levels and survey responses were analyzed. Results suggest that greater trust is experienced when the partner is perceived to be human. Additionally, the attribution of partners possessing expert knowledge drove perceptions of humanness. Partners viewed to adhere to strict syntactical requirements, displaying quick response times, having unnatural conversational tone, and unrealistic availability contributed to perceptions of partners being machine-like.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2021.016
dc.identifier.isbn 978-0-9981331-4-0
dc.language.iso English
dc.relation.ispartof Proceedings of the 54th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.subject AI and Future of Work
dc.subject artificial intelligence
dc.subject collaboration
dc.subject intelligent systems
dc.subject trust
dc.title An Empirical Study Exploring Difference in Trust of Perceived Human and Intelligent System Partners
prism.startingpage 136
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