Trusting intentions towards robots in healthcare: A theoretical framework

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O'Connor, Yvonne
Kupper, Matesuz
Heavin, Ciara
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University of Hawai'i at Manoa
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Within the next decade, robots (intelligent agents that are able to perform tasks normally requiring human intelligence) may become more popular when delivering healthcare services to patients. The use of robots in this way may be daunting for some members of the public, who may not understand this technology and deem it untrustworthy. Others may be excited to use and trust robots to support their healthcare needs. It is argued that (1) context plays an integral role in Information Systems (IS) research and (2) technology demonstrating anthropomorphic or system-like features impact the extent to which an individual trusts the technology. Yet, there is little research which integrates these two concepts within one study in healthcare. To address this gap, we develop a theoretical framework that considers trusting intentions towards robots based on the interaction of humans and robots within the contextual landscape of delivering healthcare services. This article presents a theory-based approach to developing effective trustworthy intelligent agents at the intersection of IS and Healthcare.
Anthropomorphic , Healthcare , Intelligent agents , System-like , Trusting intentions , Human-robot interactions
O'Connor, Y., Kupper, M. and Heavin, C. (2021) 'Trusting intentions towards robots in healthcare: A theoretical framework', Proceedings of the 54th Hawaii International Conference on System Sciences, Kauai, Hawaii, USA, 4-8 January, pp. 586-595. doi: 10.24251/HICSS.2021.071