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Participatory AI for Digital Health and Well-being // Lauren Wilcox
Abstract: Advances in computing technology continue to offer us new insights about our health and well-being. As mutually reinforcing trends make the use of wearable and mobile devices routine, we now collect personal, health-related data at an unprecedented scale. Meanwhile, electronic health record (EHR) systems continue to evolve. In response, ML/AI-driven solutions are making use of data incorporating multitudinous dimensions of our health. How can researchers take inclusive approaches to envisioning solutions, training data and deploying these solutions? Who should be involved in decisions about how to use ML/AI in digital health and well-being solutions, and even what solutions matter in the first place?
In this talk, I will discuss participatory approaches to designing digital health and well-being technologies with patients, family members and clinicians. I will provide an overview of studies focusing on how human communication, health management practices and interactions with health-related data point to lessons for uniting computing advancements with people’s needs. Starting with collaborative design approaches for supporting chronic condition management in families, and progressing onto field studies in clinics exploring the use of a deployed, diagnostic AI system, I will discuss participatory approaches that can be used throughout the technology design, development and evaluation process to bring human-centered design to new solutions.
Bio: Lauren Wilcox, PhD, is a research lead in the Google Wellbeing Lab and an associate professor at Georgia Tech, where she directs the Health Experience and Applications Lab. Previously at Google Health, Dr. Wilcox led initiatives to align AI advancements in healthcare with the needs of clinicians, patients and their family members. She was recognized by the NSF through a CAREER award and by the Agency for Healthcare Research and Quality (AHRQ) through a Dissertation Award. She has also authored several recognized papers (e.g., papers receiving editor's choice designation, best paper and best paper honorable mention). Dr. Wilcox was an inaugural member of the ACM Future of Computing Academy and frequently serves on the organizing and technical program committees for premier conferences in the field (e.g., ACM CHI 2021). She received her PhD in Computer Science from Columbia University in 2013.