- Bihavioral Sciences
Our unique investigations into consumer behavior often take the form of
field experiments with “real-life” Disney guests and customers. More
recent projects have begun to shift to the intersection of technology
(particularly mobile) and consumer behavior. We also study other aspects
of the media consumption experience. Our goals are to enhance guest
satisfaction, test new business models, and further Disney’s aims around
social consciousness and sustainability.
- Computer Graphics
Our research competency in computer graphics is especially mature. Our
entertainment businesses provide diverse target applications for our
pioneering work. This allows us to achieve a rare level of
cross-fertilization by juxtaposing real-time algorithms for the game
studios with high-end techniques for the movie studios, achieving speed
and directability in physical simulation, spanning visual styles from
photorealistic to artistic, and blurring the boundaries between computer
graphics and materials science.
- Computer Vision
Guest interaction at theme parks, motion capture for studios, and sports
visualization are just a few of the direct applications for our
computer-vision research. We also perform research in which computer
vision intersects with human-computer interaction, video processing,
display technology, and optics: it plays a role in our work on input
devices, content-aware video processing, projector-camera systems, and
computational cinematography
- Human-Computer Interaction
We’re interested in the many ways computer interfaces can span the
digital and tangible worlds, giving rise to qualitatively new
experiences. Our agenda takes advantage of technologies that are
relatively new in the commercial world, and whose interactions have not
yet been fully explored. Our researchers invent new technologies for
sensing touch and pose, as well as creating new sensory experiences such
as haptic illusions.
- Machines Learning and Optimizations
The machine learning and optimization group works on novel algorithms
that allow a computer or robot to learn to infer the most probable state
of the world, and to take optimal actions, given noisy or incomplete
information. Focus on developing efficient distributed optimization
algorithms that are well-suited to current computing technologies.
Because we focus on fundamental algorithms, our work has a wide variety
of applications spanning a number of other research areas,
including computer vision, robotics, human-computer interaction,
graphics and materials research.
- Robotics
In this arena, we’re addressing a portfolio of research problems whose
applications range from short-term improvements to long-term challenges.
Ultimately, we envision a future in which robots interact with humans
in complex, unpredictable environments. We’re working toward this vision
by addressing constituent problems in computer graphics, control
techniques for humanoid robotics, and human-robot interaction. We also
create opportunities of immediate, short-term interest intended to
improve operational costs and maintainability.
- Video Processing
Story of life is often told through video, whether it’s a movie, a
serial, a newscast, or professional sports. This raises a gamut of
research challenges with hard-hitting economic impact: for example,
automating labor-intensive processes while preserving art directability,
avoiding expensive reshoots by adding content-aware flexibility in
postproduction, and adapting to a world with increasingly diverse
devices.
- Wireless Communication and Mobile Computing
The unparalleled scale and density of Disney’s physical venues give rise
to wireless-research topics in relatively uncharted operating regimes,
with cost structures that can amortize across tens to hundreds of
millions of units. Our work focuses on the physics of radio and
antennas—with applications both analog and digital—as well as the
algorithms and protocols necessary for wireless networking. Our research
agenda is inspired primarily by opportunities at Walt Disney Parks and
Resorts and at ESPN.
- still in progress...
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