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About

Lina Zhou is a prominent researcher whose work sits at the intersection of healthcare technology adoption, human-computer interaction, and computational behavior modeling. She is best known for her sustained investigation into the adoption of home healthcare robots, a timely and consequential area given the global challenges of aging populations, nurse shortages, and strained healthcare systems. Her most influential contribution, "The Determinants of Home Healthcare Robots Adoption" (2014), has garnered over 312 citations, establishing her as a leading voice in understanding what drives patients and caregivers to embrace robotic healthcare solutions. Applying frameworks such as the Unified Theory of Acceptance and Use of Technology (UTAUT), Zhou has systematically explored behavioral intentions, demographic influences, and institutional factors shaping technology uptake in home care settings. Her research addresses pressing real-world concerns—reducing hospital readmissions, cutting transportation costs, and improving post-hospitalization outcomes. Beyond healthcare robotics, Zhou has also contributed to the emerging field of computational deception, examining how intelligent agents and robots model noncooperative and deceptive behavior for training and simulation applications. Her body of work reflects a thoughtful blend of empirical rigor and practical relevance, making her research essential reading for scholars navigating the rapidly evolving landscape of health informatics and intelligent systems.