Jessie Chin Presentation

Jessie Chin will give the presentation "Designing for Health Promotion: Bridging Cognitive Science, Human-Computer Interaction and Data in Digital Health Research."

• Presentation - 3:00-3:40 p.m.
• Q&A - 3:40-4:00 p.m.

Abstract:
In this talk, I will present my multidisciplinary research programs in digital health sciences which aim at (1) designing and validating the socio-technical solutions for promoting health communication and behavior, and (2) facilitating the dissemination and implementation of evidence-based medicine. In the first part of my talk, I will present a series of studies translating the theories/findings in cognitive psychology (self-regulated learning, discourse processing, and metacognition) and human-computer interaction (information foraging, adaptive design) to the design of information and technologies for promoting health communication among adults across the lifespan. In the second part of my talk, I will introduce two ongoing projects to build the scalable, accessible, and innovative solutions for the dissemination and implementation of evidence-based medicine in chronic illness prevention and control. The first project aims at detecting and modeling health (HPV Vaccines) misinformation in social media using cognitive and predictive models. The second project aims at promoting the delivery of evidence-based physical activity programs to sedentary homebound older adults using conversational agents (Google Home). The overarching goals of my research programs are to address health disparities and promote well-beings of diverse individuals across the lifespan.

Biography:
Chin is a research assistant professor at the Department of Biomedical and Health Information Sciences (BHIS) at the University of Illinois at Chicago. Her multidisciplinary research program aims at leveraging :(1) theories in behavioral sciences (cognitive science, human-computer interaction, and behavioral medicine); (2) both behavioral (experimentation, randomized controlled trial study) and computational approaches (e.g., statistical modeling, predictive models); and (3) the use of technologies and data, to develop innovative, scalable and accessible mechanisms to promote dissemination and implementation of evidence-based medicine through socio-technical solutions, with the overarching goal to address health disparities. Chin earned her PhD in Educational Psychology (Cognitive Science in Teaching and Learning) at the University of Illinois at Urbana-Champaign in 2016 under the supervision of Drs. Dan Morrow and Elizabeth Stine-Morrow in Educational Psychology and Dr. Wai-Tat Fu in Computer Science. In her postdoctoral research, she worked with Dr. Catherine Burns in Systems Design Engineering at the University of Waterloo in Canada. She rejoined the University of Illinois as a faculty member in 2017.