Biography
Jay is a first-year graduate student in Dr. Catharine Fairbairn’s Alcohol Research Lab. He graduated from the University of Utah with a Bachelor of Science in Psychology. Before graduate school, he explored Counseling Psychology and Artificial Intelligence in interdisciplinary research labs. Outside of academia, Jay worked in a military-based counterintelligence agency. He plans to continue his studies in a doctoral program after completing his Master’s.
Research Interests
- Addiction
- Alcohol Use Disorder
- Machine Learning/Ambulatory Assessment
Research Description
Jay strives to understand alcohol addiction from a social contextual perspective. Specifically, he is interested in applying machine learning and ambulatory assessment to examine real-time drinking behaviors in addition to the risk factors for alcohol use disorder from clinical and social psychology perspectives. In the Alcohol Research Lab, Jay is devoted to natural language processing research to understand alcohol effects from real-world drinking contexts. One of the problems from previous studies was they focused on scripted and controlled settings, which may be challenging for generalizations to real-world situations. Jay, therefore, attempts to capture meaningful conceptual and practical implications from unscripted conversations.
Furthermore, he is working on assisting in a transdermal technology project. Transdermal sensor technology is a non-intrusive way of measuring alcohol concentration, and the biosensor can be integrated into a smartwatch, allowing individuals to monitor real-time intoxication levels on the spot. Ultimately, such an innovative approach will help people control their drinking, avoid driving under the influence, and cope with relapses.
As of 2024, Jay is conducting how alcohol influences speech prosody and natural language in unscripted social drinking contexts by utilizing machine learning.
Education
B.S. in Psychology, University of Utah
Recent Publications
Park, J., & Choi, S. (under review). Unraveling psychological determinants of health behaviors in visually impaired adults: the significance of self-efficacy and depression. Journal of Behavioral Medicine.
Choi, S., & Park, J. (under review). Comparative analysis of self-reported physical activity among adults with visual impairments. Journal of Physical Activity and Health.
Park, J., & Fairbairn, C. (in progress). Socio-emotional influences of alcohol on speech properties in social interaction. Pre-registration: https://osf.io/k9dyw/?view_only=19e6aaab36aa47f4908b6799df791085
Park, J., & Fairbairn, C. (in preparation). Capturing emotional shift: extracting affect in social drinking contexts using text mining.
Park, J., & Youn, K. (2022). Text mining: research trends of college students’ problem drinking. Journal of Next-generation Convergence Technology Association, 6(6), 1127-1140. https://doi.org/10.33097/JNCTA.2022.06.06.1127
Youn, K., Jeon, H., & Park, J. (2022). The application of appreciative inquiry (AI) and its effectiveness on social welfare coursework: a case study. Journal of Learner-Centered Curriculum and Instruction, 22(16), 191-209. https://doi.org/10.22251/jlcci.2022.22.16.191
Lim, H., & Park, J. (2022). Research trends of emotions, social competence, and self-esteem of children through traditional games. Culture and Convergence, 44(6), 819-840. https://doi.org/10.33645/cnc.2022.6.44.6.819
Conference Presentations
Park, J., Han, J., Lu, Y., & Fairbairn, C. E. (2024). Effects of alcohol on speech prosody in social context. Poster presented at the annual meeting of the Research Society on Alcohol in Minneapolis, Minnesota, USA.
Lu, Y., Park, J., Fairbairn, C. E., & Zhang, R. (2024). Effects of BAC feedback on BAC level and self-estimation accuracy. Poster presented at the annual meeting of the Research Society on Alcohol in Minneapolis, Minnesota, USA.
Park, J., Han, J., Lu, Y., & Fairbairn, C. E. (2024). Can we detect alcohol intoxication using the voice? Poster presented at the Research Fair 2024 of the University of Illinois, Urbana-Champaign, Illinois, USA.
Park, J., & Youn, K. (2022). News article analysis of suicide in adolescents using text mining. Poster presented at the annual conference of the International Next-Generation Convergence Technology Association, Pusan, South Korea.