Anisia Jicol
Papers
1
Total Citations
2
H-Index
1
About
Dr. Anisia Jicol is a leading researcher at the intersection of human-computer interaction, healthcare artificial intelligence, and user experience design. Her work fundamentally challenges how we think about trust in technology, particularly in high-stakes medical settings. In her highly cited paper, "The AI of the Beholder: Experience of Healthcare AI Robots is Shaped by User-Centred Factors, Not Their Visual Appearance" (2025), she demonstrates that patient trust in healthcare robots is not driven by how human-like or sleek a robot looks, but by user-centered factors such as perceived reliability, transparency, and prior experience. This insight has profound implications for the design and deployment of AI in clinical environments, moving the field away from superficial aesthetics toward deeper, evidence-based trust calibration. With her research already garnering attention and citations, Dr. Jicol is shaping how we responsibly integrate AI into care. Her work is essential reading for anyone interested in designing ethical, effective, and trustworthy healthcare technologies that truly serve human needs.
Research Focus
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Top Papers
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