Bengisu Tulu

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About

Bengisu Tulu is a leading researcher at the intersection of information systems, healthcare technology, and human-robot interaction. Her work focuses on designing and evaluating systems that improve patient engagement, clinical decision-making, and the safe integration of robotics into healthcare settings. She is best known for her foundational contributions to understanding how users interact with healthcare robots, most notably through her highly cited 2012 paper, which developed a comprehensive taxonomy for user-healthcare robot interaction. This work systematically evaluated existing interaction frameworks and adapted them specifically for medical applications, considering both technological capabilities and user acceptance—a critical step in advancing the field. With over 3,000 citations across her body of work, Tulu’s research has shaped how scholars and practitioners approach the design of patient-centered robotic systems. Her achievements include leading interdisciplinary teams funded by the National Science Foundation and publishing in top-tier journals such as the *Journal of the American Medical Informatics Association*. For students and researchers, Tulu’s work offers a compelling model of how to bridge technical innovation with real-world healthcare needs.