Human–Computer Interaction: Paths to Understanding Trust in Artificial Intelligence

Stefanie Steinhauser ()
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Stefanie Steinhauser: Technical University of Applied Sciences Amberg-Weiden

A chapter in Transformation in Health Care, 2025, pp 87-99 from Springer

Abstract: Abstract Healthcare is being transformed by artificial intelligence (AI), enhancing efficiency, accuracy, and personalization. AI’s capabilities, including analyzing large datasets for diagnosis and predictive analytics, have the potential to reshape healthcare delivery. However, the successful integration of AI depends heavily on the trust placed in these systems by healthcare professionals and patients. Trust in AI systems in the context of human–computer interaction (HCI) involves the belief in its performance, data handling, and unbiased information, necessitating transparent and user-friendly AI design. This chapter explores the critical role of human–machine trust (HMT) within healthcare, examining how it can be built and maintained. By addressing human and machine-related factors as well as regulatory and ethical considerations, AI’s potential can be fully realized to improve healthcare outcomes.

Keywords: Human–computer interaction; Artificial intelligence; Human–machine trust; Healthcare (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:fuobcp:978-3-031-78322-7_6

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DOI: 10.1007/978-3-031-78322-7_6

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