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We introduce a new area of interaction research, everyday computing, by focusing on scaling ubiquitous computing with respect to time. Our motivations for everyday computing stem from wanting to support the informal and unstructured activities typical of much of our everyday lives. Our goal is understanding the transformation of everyday life as computing is ubiquitously integrated into informal, daily activities and routines.
Lab News
ECL at GROUP 2020 |
January 1, 2020
The 2020 ACM GROUP conference will take place in Sanibel Island, FL January 3-8, 2020. Jessica and Maia are organizing a workshop focused on maximizing societal benefit of research through design . Jessica has also been selected to serve as a SV Chair at this year's conference.
ECL at CSCW 2019 |
November 7, 2019
ECL will be attending CSCW 2019 in Austin, TX. Jessica is participating in the Qualitative Methods for CSCW workshop and Beth is participating in the Identifying Challenges and Opportunities in Human-AI Collaboration in Health workshop. Jessica presents her latest research Exploring Indicators of Digital Self-Harm With Eating Disorder Patients: A Case Study on Tuesday at 9:00 in Salon D. We look forward to seeing everyone in Austin!
Matthew Hong selected as a 2019 Foley Scholar Finalist! |
August 15, 2019
Congratulations to Matthew for being selected as a finalist for the 2019-2020 Foley Scholar Program! The Foley Scholarship Program recognizes the achievements of top graduate students whose personal vision and innovations in their research fields have the potential to shape how people interact with technology. Congrats again Matt!
Beth featured in National Geographic! |
July 10, 2019
Our very own leader was featured in the July 2019 issue of National Geographic! In the article she discusses her research and how it focuses on applying advanced computing technologies and techniques to address human health problems in a holistic and humanistic approach.
New JAMIA article |
July 1, 2019
Jessica has a new journal article in JAMIA Selection biases in technology-based intervention research: patients’ technology use relates to both demographic and health-related inequities with collaborators Tammy Toscos, Michelle Drouin, Mindy Flanagan, Rachel Pfafman and Michael Mirro.
