Eva Jermutus
Papers
1
Total Citations
41
H-Index
1
About
Dr. Eva Jermutus is a leading researcher at the intersection of human-computer interaction and healthcare technology, with a primary focus on understanding user trust in artificial intelligence. Her most cited work, a 2022 systematic review on the influences of user trust in healthcare AI, has garnered 41 citations and serves as a foundational resource for the field. This seminal paper synthesizes critical factors—such as transparency, reliability, and user experience—that shape how patients and clinicians engage with AI-driven tools. By mapping the psychological and contextual determinants of trust, Dr. Jermutus has provided a crucial framework for designing more acceptable and effective health technologies. Her contributions are particularly vital as AI becomes increasingly integrated into clinical decision-making and patient care. Through rigorous analysis and clear synthesis, she has helped bridge the gap between technical AI development and real-world user adoption. Dr. Jermutus’s work not only advances academic understanding but also offers practical guidance for developers and policymakers aiming to build trustworthy healthcare AI systems. Her research continues to influence how trust is conceptualized and operationalized in this rapidly evolving domain.
Research Focus
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Top Papers
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