Personal informatics, or people engaging with personal data about themselves, is an active area of HCI research. New advances in ML and AI can help address barriers to use and create more valuable experiences, such as identifying meaningful trends or offering predictions and personalized recommendations. We therefore will bring together an interdisciplinary group of researchers in personal informatics, ML, and AI develop an agenda for future research in this area.
Lena Mamykina, Columbia University
Daniel A. Epstein, University of California, Irvine
Pedja Klasnja, University of Michigan
Donna Spruijt-Metz, University of Southern California
Jochen Meyer, OFFIS Institute for Information Technology
Mary Czerwinski, Microsoft Research
Tim Althoff, University of Washington
Eun Kyoung Choe, University of Maryland
Munmun De Choudhury, Georgia Institute of Technology
Brian Y. Lim, National University Singapore
We a planning a fully remote, synchronous workshop to allow for remote participation. The workshop will occur occur on Wednesday, May 11th, 2022, running from 8am to 1pm PDT (11am-4pm EDT).