scott is a phd student at carnegie mellon's human- computer interaction institute.
scott works with
john zimmerman and
anind dey
he also collaborates with
shahram izadi and
alex taylor at
microsoft research
Résumé
Publications
Consulting
Contact
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how smart should a smart home be?
scott's work explores how machine-learned statisical models of simple routine behaviors can give new
intelligent capabilities to machines. his current work, for example, uses models of movement routines from cell phone gps to help dual income families coordinate --
dad has to schedule an appointment with a busy doctor for his son, but he only has a fuzzy idea of his after school schedule.
we can use naive bayes models to show dad his son's usual schedule at decision-time, helping him make fewer
appointments that need costly rescheduling.
or
dad's on a business trip, so mom has to do his ballet pickup but forgets to ask how long the carpooling takes. we can use markov models to tell mom how much time dad usually needs when
she's planning her day, helping avoid frenetic last-minute scheduling and stress
scott uses interaction and experience design as a lens to explore ubiquitous computing and context-aware computing
in the home. this work produced a 2-year ethnographic study
of the home, and design methods for the ubicomp space like speed dating.
scott works on the project on family, control + the smart home. his advisors, john zimmerman and anind dey, assure scott his service will end as soon as he produces an original thought. we are all concerned. scott is also principal of scott davidoff design, a boutique design consultancy.
scott holds a masters in hci from cmu, and a ba in political theory and english from duke. he
has a strong love affair with coffee, spiritual poetry, children's books, and roller disco.
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news
speed dating nominated for best presentation at ubicomp 2007 ppt | slideshare
smart bag wins best paper at design + emotion 2007 pdf
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