In this keynote, I will present a new perspective on wearable sensing to enable community-based behavior change to promote improved health and well-being for an individual belonging to the community. These emerging ideas are grounded in planning activities for Project Healthy After Childbirth (HATCH), which seeks to develop an intervention to promote physical activity, breastfeeding, and sustained abstinence from smoking among postpartum, low SES women through a smart and connected community. We envision an intervention facilitated by wearable devices and the Internet of Things (IoT) that enables:
Dr. Jamie Payton is an Associate Professor and Chair of the Department of Computer and Information Sciences at Temple University. Her research interests include pervasive computing systems for smart health and well-being, broadening participation in computing, and evidence-based approaches to improving computer science education. She is the Director of the STARS Computing Corps, an NSF BPC Alliance that aims to develop college students and faculty as leaders who take action to broaden participation of underrepresented groups in computing; since 2006, STARS has engaged over 2500 college students in near-peer outreach projects, providing computer science learning opportunities to over 140,000 K12 students. As a co-founder of the International Conference on Research on Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT), Payton has helped to establish a scholarly venue that bring together researchers in computer science, education, learning sciences, gender studies, sociology, and related fields to disseminate and promote interdisciplinary research on broadening participation in computing. She is also the creator of the Mobile Application Development for Investigators (MAD Investigators) program, which leverages her research in crowdsensing to introduce middle school students to STEM concepts, and the Director of an NSF-funded Research Experiences for Undergraduates (REU) program on Pervasive Computing for Smart Health, Safety, and Well-being.