Dr. Hailiang Wang is a Research Assistant Professor in the School of Design at The Hong Kong Polytechnic University. He received his Ph.D. degree (Human Factors Engineering) and MSc. degree (Industrial Engineering) from The University of Hong Kong, and Mphil degree (Management) and Bachelor degree (Management) from Dalian University of Technology.
His research interests include human factors/ergonomics (HFE), human-computer interaction, UI/UX design, health systems engineering, human psychosocial behaviors with technology, with an attempt to enhance people's safety and health. His recent projects mainly focus on the application of smart technology (e.g., VR/AR, sensor, AIoT) and big data techniques to design health care systems/devices.
◆ Design Research (Product Design, BA): 2020/21, 2021/22
◆ Introduction to Ergonomics (Design Strategies, MDes): 2020/21, 2021/22
◆ Digital Aesthetics (Interactive Media, BA): 2021/22, 2022/23
◆ Outstanding Young Researcher, Faculty/School Awards for Outstanding Achievement, PolyU (2022)
◆ Excellent Paper Award, International Conference on Open and Innovation Education, July 2022, HK (2022)
◆ Outstanding Project Award, the Hong Kong Ergonomics Society, HK (2018)
◆ Champion of the PhD Project Competition, the Hong Kong Institution of Engineering: Safety Specialist Committee, HK (2017)
◆ Merit Winner of the Best Project Award, the Occupational Safety & Health Council, HKf (2017)
Grants as PI
◆ PI: "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"; Health and Medical Research Fund; 2023-2025.
◆ PI: "Design intelligence in smart homes for solitary seniors: a pilot study on an IoT-based, interactive indoor tracking system"; TCL-SD Seed Fund; 2022-2023.
◆ PI: "Design of an artificial intelligence IoT-powered monitoring and evaluation system for older adults’ mobility management"; Joint Postdoc Scheme with Non-local Institutions, PolyU (UGC); 2022-2025.
◆ PI: "Elderly-oriented design with virtual reality and sensing technology: prevention and evaluation of mild cognitive impairment among older adults"; Shenzhen Municipal Science and Technology Innovation Commission (深港澳科技計畫C類); 2022-2024.
◆ PI: "Research on the visual search mechanism and intervention strategy for medical workers in look-alike drug name selection"; National Natural Science Foundation of China (國家自然科學基金-青年基金); 2022-2024.
◆ PI: "A music- and IoT-based interactive design for health care of older adults with mild cognitive impairment and their familiar caregivers"; Undergraduate Research and Innovation Scheme, PolyU (UGC); 2022-2023.
◆ PI: "Walking towards successful aging: design and evaluation of a smart stick"; Undergraduate Research and Innovation Scheme, PolyU (UGC); 2021-2023.
◆ PI: "Development of an immersive virtual reality-based, sensor-augmented system for treatment and assessment of mild cognitive impairment"; Start-up Fund for RAPs, PolyU (UGC); 2021-2023.
◆ PI: "A technology-augmented gait and balance self-management system for older adults: prototype design and usability test"; Departmental Supporting Fund, PolyU (UGC); 2021-2022. (completed)
◆ PI: "Labeling design for medicines: how to reduce confusion errors caused by look-alike drug names"; Departmental Start-up Fund, PolyU (UGC); 2021-2022. (completed)
(* for the corresponding author; # for equal first author)
◆ Chen, M.T., Wang, H.L.#, Yu, L.S., Yeung, E.H.K., Luo, J.J., Sun, T.L., Tsui, K.L., Zhao, Y.* (2022). A systematic review on wearable sensor-based technologies for fall risk assessment in older adults. Sensors (IF=3.847; accepted on 2 Sep 2022; JCR: Q2)
◆ Zhao, Y., Xu, F.*, Fan, X.M., Wang, H.L., Tsui, K.L. (2022), Prediction of wellness condition for community-dwelling elderly via ECG signals data-based feature construction and modeling: Implementation and evaluation. International Journal of Environmental Research and Public Health. 19(17), 11136; https://doi.org/10.3390/ ijerph191711136 (IF=4.614; published on 5 Sep.; JCR: Q2)
◆ Wang, H.L., Zhang, J., Luximon, T., Qin, M., Geng, P., Tao, D.* (2022). Evaluating factors that affect user acceptance of mobile medical platform using TPB, TAM and user-centered factors. International Journal of Environmental Research and Public Health. 19(17): 10758; https://doi.org/10.3390/ijerph191710758 (IF=4.614; published on 29 August 2022; JCR: Q2)
◆ Geng, P., Wang, H.L.*, Churchill N., and Liu, Y. (2022). Investigation on Hong Kong University Engineering Students’ Acceptance of E-learning during the Covid-19 Pandemic. 2022 International Conference on Open and Innovative Education. (accepted on April 11, 2022; Excellent Paper Award)
◆ Chen, M., Wang, H.L., Yu, L., Yeung, H.K., Luo, J., and Zhao, Y.* (2022). Latest research trends of wearable sensor-based data modeling for fall risk prediction in community-dwelling elderly. The 15th International FLINS Conference on Machine learning, Multi-agent and Cyber-physical systems, and the 17th International Conference on Intelligent Systems and Knowledge Engineering (accepted on June 22, 2022).
◆ Zhang, J.X., Wang, H.L., Lee, Y.H., Pang, Y.C., and Luximon Y.* (2022). Older Adults’ Actual Use and Adoption Intention of Smart Health Care Technologies in Hong Kong. In: Gao, Q., Zhou, J. (eds) Human Aspects of IT for the Aged Population: Design, Interaction and Technology Acceptance. HCII 2022. Lecture Notes in Computer Science, vol 13330: pp. 658–669.
◆ Zhang, J.X., Luximon, Y., Wang, H.L.* (2022), Effectiveness of exergaming-based interventions for mobility performance in older adults with Parkinson’s disease: Systematic Review and Meta-Analysis of Randomized Controlled Trials. Age and Ageing. 51 (8): afac175, https://doi.org/10.1093/ageing/ afac175 (IF=10.668; JCR Q1)
◆ Fan, X.M., Wang, H.L., Zhao, Y.*, Huang, K.H., Wu, Y.T., Sun, T.L., and Tsui, K.L. (2022), Automatic fall risk assessment with Siamese network for stroke survivors using inertial sensor-based signals. International Journal of Intelligent Systems. 1- 17. doi:10.1002/int.22838 (IF=8.709; JCR Q1)
◆ Lin, H., Jian, C., Cao, Y., Ma, X., Wang, H.L., Miao, F., Fan, X.*, Yang, J., Zhao, G., and Zhou, H. (2022), MDD-TSVM: A novel semi supervised-based method for major depressive disorder detection using electroencephalogram signals. Computers in Biology and Medicine. 140: p. 105039. (IF=4.589; JCR Q1)
◆ Hsu, Y.C., Wang, H.L., Zhao, Y.*, Chen, F., Tsui, K.L. (2021). Automatic recognition and analysis of balance activity in community-dwelling older adults: Algorithm validation. Journal of Medical Internet Research. 23(12): e30135 (IF=7.093; JCR Q1)
◆ Pan, H., Zhao, Y., Wang, H.L. *, Li, X., Leung, E., Chen, F., Cabrera, J., Tsui, K.L. (2021). Influencing factors of Barthel index scores among the community-dwelling elderly in Hong Kong: A Random Intercept Model. BMC Geriatric 21, 484. (IF=3.970; JCR Q2)
◆ Yu, L., Zhao, Y.*, Wang, H.L., Sun, T-L, Murphy, T.E., and Tsui, K.L. (2021). Assessing elderly’s functional balance and mobility via analyzing data from waist-mounted tri-axial wearable accelerometers in time up and go tests. BMC Medical Informatics and Decision Making, 21(1):108. (IF=3.298)
◆ Fan, X.M., Wang, H.L., Zhao, Y.*, Ye Li, and Tsui, K.L. (2021), An adaptive weight learning-based multitask deep network for continuous blood pressure estimation using electrocardiogram signals. Sensors, 21(5):1595. (IF=3.847; JCR Q2)
◆ Wang, H.L., Tao, D.*, Cai, J., Qu, X. (2021). Effects of vibration and target size on the use of input devices in pointing and dragging-and-dropping tasks. Human Factors and Ergonomics in Manufacturing & Service Industries, 1-15. https://doi.org/10.1002/hfm.20938 (IF=1.699)
◆ Wang, H.L., Tao, D.*, and Yan, M. (2021). Effects of text enhancement on reduction of look-alike drug name confusion: A systematic review and meta-analysis. Quality Management in Healthcare, 30(4):233-243. (IF=1.147)
I am looking for Ph.D. students, research assistants/associates, and student helpers. Interested candidates please send your CV, transcripts, and publications (if any) to me for consideration.