The Interactive Development of AI and the Research on Chronic Pain
Date: 2022/01/18 - 2022/01/18
Academic Seminar: The Interactive Development of AI and the Research on Chronic Pain
Speaker: Dr. Chongyang Wang, Ph.D. candidate at University College London Interaction Centre
Time: 9:00 a.m.-10:00 a.m., Jan 18th, 2022 (Beijing Time)
Location: via feishu
Abstract
In the qualitative research on chronic pain (CP) from clinical psychology, behavioral science, and human-computer interaction, researchers have particularly looked into the following aspects: i) the psychological and physical needs of people with CP and their respective movement behaviors shown during activities; ii) the analysis and response from clinical phsiotherapists toward such movement behaviors of the patient; and iii) the discussion held between the patient and the physio about possible future technology for CP rehabilitation.
Based on these studies, my PhD has been focused on the ubiquitous computing research for intelligent CP rehabilitation. Specifically, as the important first step, I studied the automatic detection of protective behavior presented by people with CP during their functional activities.
This seminar will present three studies I completed during my PhD. I will demonstrate how we acquired the machine learning ideas from the past qualitative studies done on CP, and how we could support such studies in the past and future with knowldege and insights gained from our machine learning models. While AI for Science is revealing its great potential for boosting fundamental scientific developments, I hope my presentation will show a potential approach in AI for Clinical Psychology & Behavioral Science.
Biography
Chongyang Wang is a PhD candidate at University College London Interaction Centre, under the supervision of Prof. Nadia Bianchi-Berthouze, Nicholas D. Lane, and Amanda C. De C. Williams. Before joining UCL, he earned the B.Eng degree at Southwest University in China, where he obtained the National Scholarship. During his PhD, he was awared the UCL ORS-GRS scholarship to carry out his interdisciplinary research on developing ubiquitous computing technologies for the intelligent rehabilitation of people with chronic pain. His PhD works are published at journals of IMWUT and ACM HEALTH, and conferences of Ubicomp/ISWC and ACII.