Date of Award
Spring 2024
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Interdisciplinary
First Advisor
Terence Ow
Abstract
What motivates clinicians to trust Artificial Intelligence, even in the presence of well-adopted traditional information as an alternative? Should there be differences in the capacity to trust AI influenced by the state of market adoption and cultural phenomena? This study seeks to supply possible answers gained through an experiment with AI in clinical judgment in mature and emerging markets. It applies a well-established theory, heuristics-based decision-making, in demonstrating how the AI cue is recognized and utilized in clinical judgment, as compared to traditional cues such as basic vital signs. It tests the AI cue for dominance against traditional cues. To enrich findings from the primary objective, the model of the theory of planned behavior and constructs from three validated scales of measurement of attitudes toward AI to illuminate factors facilitating engagement with AI is used. Data are collected from two markets differentiated on the status of adoption of AI in health care: mature (US) and emerging (India). Findings corroborate previous research on the effort reduction in the form of examination of fewer queues and their reduced integration. Additionally, consistent with previous research, it is demonstrated that inclusion of AI does not guarantee its usage. Finally, factors that may either strengthen or inhibit engagement with AI in health care settings are illustrated and discussed.