Brief Introduction:

Dr. Kaifeng Liu obtained her bachelor’s degree in Tsinghua University. She received her MSc. and Ph.D. degrees in Human Factors and Ergonomics from the University of Hong Kong. Her research interests focus on the application of human factors to support and facilitate the design and implementation of health care systems/medical devices/gerontechnology to improve the quality of medical service.

Academic Achievements:

Research grants:

· National Natural Science Foundation of China, Evaluation of mobile health-assisted self-management of type 2 diabetes from a micro-perspective: effects on health outcomes and mechanisms of behavior change, Principal Investigator, 2022/01-2024/12, RMB 300,000

· Health and Medical Research Fund, A VR-based real-time interactive tutoring system for Qigong training among older adults with mild cognitive impairment and their familial caregivers: A feasibility study (Ref. no.: 20211201), Co-Investigator, 2023/04-2025/03, HKD 494,300

· Tianjin Municipal Science and Technology Bureau, Applied Basic Research Project of Tianjin, Establishment of information platform for aortic dissection in Tianjin, Principal Investigator (University side), 2021/04-2024/04, RMB 200,000

· The Hong Kong Polytechnic University, Labeling design for medicines: How to reduce confusion errors caused by look-alike drug names, Co-Investigator, 2020/12-2022/02, HKD 100,000

Publications:

· Su, P., & Liu, K.* (2024). Effects of anthropomorphic design on comprehension of self-monitoring test results: Integrating evidence of eye-tracking and event-related potential. Displays, 82, 102664.

· Liu, K., Yao, J., Tao, D., & Yang, T. (2023) Influence of individual-technology-task-environment fit on university student online learning performance: The mediating role of behavioral, emotional, and cognitive engagement. Education and Information Technologies, 28(12), 15949-15968.

· Liu, K., Zeng, J. & Tao, D. (2024) Assessing touchscreen operations under vibration: effects of vibrational environments, button size, and button spacing on digit- and letter-entry task performance. Universal Access in the Information Society, 23: 293–303.

· Liu, K., Or, C. K., So, M., Cheung B., Chan, B., Tiwari, A., & Tan, J. (2022). A longitudinal examination of tablet self-management technology acceptance by patients with chronic diseases: Integrating perceived hand function, perceived visual function, and perceived home space adequacy with the TAM and TPB. Applied Ergonomics, 100, 103667.

· Liu, K. & Tao, D. (2021). The roles of trust, personalization, loss of privacy, and anthropomorphism in public acceptance of smart healthcare services. Computers in Human Behavior, 127, 107026. (ESI Highly cited paper)

· Liu, K., Chan, F. Y., Or, C. K., Sun, D. T. F., Lai, W. S., & So, H. Y. (2019). Heuristic evaluation and simulated use testing of infusion pumps to inform pump selection. International Journal of Medical Informatics, 131, 103932.

· Liu, K., Or, C. K., & Li, S. Y. (2019). Visual differentiation and recognition memory of look-alike drug names: effects of disfluent format, text enhancement and exposure time. Ergonomics, 62(10), 1289-1300.

· Liu, K., Xie, Z., & Or, C. K. (2020). Effectiveness of mobile app-assisted self-care interventions for improving patient outcomes in type 2 diabetes and/or hypertension: systematic review and meta-analysis of randomized controlled trials. JMIR mHealth and uHealth, 8(8), e15779.

· Or, C. K. L., Liu, K., So, M. K. P., Cheung, B., Yam, L. Y. C., Tiwari, A., Lau, E. Y. F., Lau, T., Hui, G. P. S., Cheng, H. C., Tan, J., & Cheung, M. T. (2020). Improving self-care in patients carrying coexisting type 2 diabetes and hypertension by technological-surrogate nursing: randomized controlled trial. Journal of Medical Internet Research, 22(3), e16769.

Honors & Awards: