教师名录
陈天容，博士，米兰体育网页版_米兰体育（中国）官方在线登录副研究员，硕导。2018年本科毕业于西北工业大学，2024年博士毕业于香港大学工业与制造系统工程系（现数据与系统工程系）。主要研究方向为人机交互、人因工程、智能医疗健康技术的设计与评估，成果发表于人机交互和医疗健康领域高水平期刊，包括International Journal of Human–Computer Interaction、Applied Ergonomics、Journal of the American Medical Informatics Association等。
论文发表详见个人主页：
Google Scholar: https://scholar.google.com.hk/citations?user=l5ojXGwAAAAJ&hl=en
ResearchGate: https://www.researchgate.net/profile/Tianrong-Chen-2
2026.01至今，东南大学 机械工程学院 上岗副研究员
2024.09-2025.12，香港大学 数据与系统工程系 博士后
International Journal of Human-Computer Interaction, Applied Ergonomics, International Journal of Industrial Ergonomics, BMC Health Services Research, Human Factors and Ergonomics Society (HFES) Annual Meeting, International Conference on Human-Computer Interaction, etc.
1. Or, C. K., Chen, T., Yam, L. Y. C., Wong, E. L. Y., Yeoh, E. K. and Cheung, M. T. Technological surrogate physiotherapy to improve knee health through exercise: Human-computer interaction to build trust and acceptance notwithstanding pain. International Journal of Human-Computer Interaction, 2025, 41(17): 10834-10845.
2. Chen, T., Liu, H. and Or, C. K. Human factors principles enhance the design of a machine learning-based lower-limb exercise system for older adults with knee pain. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2025, 69(1): 2167-2171. SAGE Publications.
3. Liu, H., Chen, T., Yam, L., Wong, E., Bennell, K., Yeoh, E. K., Cheung, M. T. and Or, C. K. Heuristic evaluation and usability testing of an artificial intelligence-powered therapeutic exercise system for managing knee osteoarthritis in older adults. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2025, 69(1): 2154-2159. SAGE Publications.
4. Chen, J., Or, C. K., Li, Z., Yeung, E. H. K. and Chen, T. Perceptions of patients with stroke regarding an immersive virtual reality-based exercise system for upper limb rehabilitation: Questionnaire and interview study. JMIR Serious Games, 2025, 13(1), e49847.
5. Chen, T., Chen, J. and Or, C. K. Heuristic evaluation and end-user testing of a machine learning-based lower-limb exercise training system for management of knee pain in individuals aged 55 years or over. International Journal of Industrial Ergonomics, 2024, 102: 103607.
6. Chen, T. and Or, C. K. Perceptions of a machine learning-based lower-limb exercise training system among older adults with knee pain. Digital Health, 2023, 9: 20552076231186069.
7. Chen, T. and Or, C. K. Automated machine learning-based prediction of the progression of knee pain, functional decline, and incidence of knee osteoarthritis in individuals at high risk of knee osteoarthritis: Data from the osteoarthritis initiative study. Digital Health, 2023, 9: 20552076231216419.
8. Chen, T., Guo, J., Xie, Z. and Or, C. K. Using a checklist-based electronic calculation aid and contextual cues to assist medication dose calculation and calculation resumption after interruptions. International Journal of Industrial Ergonomics, 2023, 95: 103453.
9. Chen, T., Chen, J., Or, C. K. and Lo, F. P. Path analysis of the roles of age, self-efficacy, and TAM constructs in the acceptance of performing upper limb exercises through immersive virtual reality games. International Journal of Industrial Ergonomics, 2022, 91: 103360.
10. Chen, J., Or, C. K. and Chen, T. Effectiveness of using virtual reality-supported exercise therapy for upper extremity motor rehabilitation in patients with stroke: Systematic review and meta-analysis of randomized controlled trials. Journal of Medical Internet Research, 2022, 24(6): e24111.
11. Chen, T., Or, C. K. and Chen, J. Effects of technology-supported exercise programs on the knee pain, physical function, and quality of life of individuals with knee osteoarthritis and/or chronic knee pain: A systematic review and meta-analysis of randomized controlled trials. Journal of the American Medical Informatics Association (JAMIA), 2021, 28(2): 414-423.
12. Guo, J., Chen, T., Xie, Z. and Or, C. K. Effects of interventions to reduce the negative consequences of interruptions on task performance: A systematic review, meta-analysis, and narrative synthesis of laboratory studies. Applied Ergonomics, 2021, 97: 103506.
13. Chen, T. and Or, C. K. Development and pilot test of a machine learning-based knee exercise system with video demonstration, real-time feedback, and exercise performance score. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2021, 65(1): 1519-1523. SAGE Publications.
14. Chen, T., Or, C. K. and Chen, J. A systematic review and meta-analysis of randomized controlled trials to evaluate technology-supported exercise programs for knee health. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2020, 64(1): 639-640. SAGE Publications.
