Hello TUX!
A reminder that
today we have a Sanders Series
Invited Lecture by Prof.
Ranjitha Kumar at a NEW location.
We look forward
to seeing you there!
Ali, Daniel, and
Tovi
Sanders
Series Invited Lecture: Prof. Ranjitha
Kumar
February
13, 2019. DGP Lab, Department of
Computer Science at U of T @ 40 St.
George Street Room 5166
Lunch reception
begins at 12:30 pm. Presentation begins at
1:00 pm.
Data-Driven Design:
Beyond A/B Testing
A/B testing
has become the de facto standard for
optimizing
design, helping designers craft more
effective user experiences by
leveraging data. A typical A/B test
involves dividing user traffic
between two experimental conditions (A and
B), and looking for
statistically significant differences in
performance indicators (e.g.,
conversion rates) between them. In this
talk, I’ll introduce three other
data-driven methods — complementary to A/B
testing — that can tie
design choices to desired outcomes. Mining
interactiondata from existing
designscan provide comparative insights
about patterns found in the
wild, exposing designers to a greater
space of divergent solutions than
A/B testing. Lightweight prototypes with
tight user feedback loops, or
experimentation engines, can bootstrap
product design involving
technologies that are actively being
developed (e.g., artificial
intelligence, virtual/augmented reality),
where both use cases and
capabilities are not well-understood.
Finally, generative modelstrained
on a set of effective design examples can
support predictive workflows
that allow designers to rapidly prototype
new, performant solutions.
Bio
Ranjitha
Kumar is an Assistant Professor in the
Department of
Computer Science at the University of
Illinois at Urbana-Champaign
(UIUC), where she leads the Data-Driven
Design group. She is the
recipient of a 2018 NSF CAREER award, and
UIUC’s 2018 C.W. Gear
Outstanding Junior Faculty Award. Her
research has won best paper
awards/nominations at premier conferences
in HCI, and is supported by
grants from Google, Amazon, and Adobe. She
received her PhD from the
Computer Science Department at Stanford
University in 2014, and was
formerly the Chief Scientist at Apropose,
Inc., a data-driven design
company she founded that was backed by
Andreessen Horowitz and New
Enterprise Associates.
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OUR
SPONSORS:

TUX is made possible by
the support of our sponsors, Steven
Sanders, Autodesk,
University of Toronto
Department of Computer Science, and MaRS.
About MaRS: MaRS is the
one of the world’s largest urban
innovation hubs—a place for
collaboration, creativity and
entrepreneurship. Located in the heart
of Toronto’s research district, MaRS
provides the space, training, talent and
networks required to commercialize
important discoveries and launch and
grow Canadian startups.
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