Presentation
Factors Associated with Trust of Generative Artificial Intelligence Tools Among Patients and Caregivers: A Review of Empirical Research
SessionPoster Session 1
DescriptionGenerative artificial intelligence (GenAI) systems offer immense potential at improving care processes for clinicians, patients, and caregivers alike. GenAI tools include chatbots (e.g., ChatGPT) and may be particularly attractive to patients and caregivers for their wide accessibility and potential to improve access to information. However, these tools’ quality parameters (i.e., accuracy, consistency, completeness) have been shown to be problematic, a deeper understanding of what contributes to patients’ and caregivers’ trust of GenAI tools is needed. Thus, we aimed to conduct a review of existing empirical literature to identify correlates of trust in GenAI tools among patients and caregivers. Based on 24 studies, there is emerging evidence that there is a moderate level of trust of GenAI among patients. No studies examined caregivers. We inductively identified five groupings of factors that contribute to patients’ trust of GenAI. These were individuals (e.g., health literacy, trait trust), tasks (e.g., administrative vs. diagnosis), agent design (e.g., personalization, use of user-centered design), agent implementation (e.g., government oversight), and agent performance (e.g., reliability, accuracy). This review suggests that multilevel factors influence patients’ trust in GenAI agents. Additional research is needed on caregivers, publicly accessible GenAI tools (e.g., ChatGPT), and developing and validating trust in GenAI instruments.
Event Type
Poster
TimeTuesday, October 14th5:30pm - 6:30pm CDT
LocationRiverside East
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