Exploring Smartphone-based Activities of Daily Living to Detect Blood Alcohol Concentration

Explore a groundbreaking 15-minute conference talk from the CHI 2024: The ACM CHI Conference on Human Factors in Computing Systems that investigates the potential of using Smartphone-based Activities of Daily Living (S-ADL) to detect Blood Alcohol Concentration (BAC). Delve into the innovative research conducted by Hansoo Lee, Auk Kim, Sang Won Bae, and Uichin Lee, which shifts focus from traditional computer-based or neuropsychological tests to everyday smartphone activities for real-life BAC detection. Learn about the proof-of-concept study involving 40 young adults in a controlled laboratory experiment, where key S-ADL metrics such as delayed texting, site searching, and finance management were identified as significant contributors to BAC detection. Discover the promising results, including an AUC-ROC and accuracy of 81%, and gain insights into potential real-life applications of this proposed BAC model. This session, part of the Wellbeing and Mental Health C track, offers valuable information for researchers, healthcare professionals, and technology developers interested in innovative approaches to public health and safety.