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SUMMARY:Using Everyday Routines as a Resource for Understanding Behaviors 
 and Making Recommendations - Professor Anind Dey - Dean and Professor of t
 he Information School at the University of Washington
DTSTART:20221130T153000Z
DTEND:20221130T162000Z
UID:TALK182657@talks.cam.ac.uk
CONTACT:Ben Karniely
DESCRIPTION:Bio: Anind K. Dey is a Professor and Dean of the Information S
 chool at the University of Washington. Anind is renowned for his early wor
 k in context-aware computing\, an important theme in modern computing\, wh
 ere computational processes are aware of the context in which they operate
  and can adapt appropriately to that context. His research is at the inter
 section of human-computer interaction\, machine learning\, and ubiquitous 
 computing. For the past few years\, Anind has focused on passively collect
 ing large amounts of data about how people interact with their phones and 
 the objects around them\, to use for producing detection and classificatio
 n models for human behaviors of interest. He applies a human-centered and 
 problem-based approach through a collaboration with an amazing collection 
 of domain experts in areas of substance abuse (alcohol\, marijuana\, opioi
 ds)\, mental health\, driving and transportation needs\, smart spaces\, su
 stainability\, and education. Anind was inducted into the ACM SIGCHI Acade
 my for his significant contributions to the field of human-computer intera
 ction in 2015 and was named an ACM Fellow in 2022. Before starting at the 
 University of Washington in 2018\, Anind was the Charles M. Geschke Profes
 sor and Director of the Human-Computer Interaction Institute at Carnegie M
 ellon University for 4 years\, and was a member of the faculty for 13 year
 s. Previously\, he was a Senior Researcher at Intel Research and an Adjunc
 t Assistant Professor of Computer Science at UC Berkeley. Anind received h
 is PhD and MS in computer science\, and an MS in aerospace engineering fro
 m Georgia Tech\, and a Bachelors in Computer Engineering from Simon Fraser
  University. \n\nAbstract: We live in a world where the promise of ubiquit
 ous computing and the Internet of Things is coming true. We have smart dev
 ices that pervade our lives\, and that are constantly collecting data abou
 t us and mostly discarded as irrelevant. I will demonstrate how researcher
 s can extract relevance from this passively collected data and use it to "
 image" people's behaviors. I will describe approaches for extracting behav
 ioral routines from smart devices\, and then how these routines can help u
 s better understand individual and group human behaviors\, as well as anom
 alies. Using examples from healthcare\, I will describe how we can leverag
 e both routines and anomalies to improve our understanding of health-relat
 ed behaviors and make recommendations to support behavior change.\n\n\nA r
 ecording of this talk is available at the following link: https://www.cl.c
 am.ac.uk/seminars/wednesday/video/\n\nThis talk is being recorded.
LOCATION:Lecture Theatre 1\, Computer Laboratory\, William Gates Building
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