Researchers Receive Google TVs in Web Developer Promotion-Silicon Valley Campus - Carnegie Mellon University

Researchers Receive Google TVs in Web Developer Promotion-Silicon Valley Campus - Carnegie Mellon University

Researchers Receive Google TVs in Web Developer Promotion

Professors Todd Sedano, Joy Zhang and Ian Lane are recipients in the Google TV Web Developer Promotion. They will receive 5 free Google TV devices (Logitech Revue™ with Google TV™) for their coursework and research at Carnegie Mellon University's Silicon Valley campus (CMU-SV).

“I am excited to bring Google TV devices to our students to create novel ideas as a consumer product. This is in line with CMU-SV’s learn by doing philosophy taught in my Real World Software Engineering for Entrepreneurs course,” said Professor Todd Sedano.

The focus on both coursework and research efforts would be to investigate topics related to personalizing the TV viewing experience and making the content more context-aware. This will entail learning a user’s preference and continuously dynamically updating a personality profile encompassing history, location, mood, intent, activities and social graph amongst other factors. The profiles would then allow for intelligent recommendations to offer a personalized guide to media. The research would be extended later to design profile-fusing to offer recommendations for a group of media viewers.

Professor Joy Zhang added, “This is our second time collaborating with Google. Previously, they provided 80 Motorola Droid phones for our students to build mobile applications the basis for several start-up companies and best mobile application awards. We look forward to what his new collaboration will bring to the Smart TVs segment in my Data Mining course.”

Over the past two years, Carnegie Mellon University's Silicon Valley campus has broadened their research footprint to include projects in context-aware computing, machine learning, speech translation/recognition, wireless sensors and interface design. All of these areas play an important role in personalizing the Google TV experience.

Specific topics to research include:

  • Using machine learning, agents and context to shape selections and recommendations
  • Store preferences/context/history in cloud - use to offer recommendations, targeted ads, etc.
  • Smarter personal services would give context-aware annotation to videos on a screen (i.e., automatic bookmark to IMDB when watching a related video on TV) and synchronizing bookmarks across devices to allow for seamless viewing experience
  • Building and fusing personality profiles would allow for multi-person recommendations, and dynamic affinity groups
  • Share media amongst devices and with friends in a secure, protected manner
  • Developing intuitive multi-modal interfaces for in-home entertainment systems

“Intelligent entertainment systems is an extremely interesting area for research in human-machine interaction. Future systems will incorporate speech, gesture and intelligent personalized agents. The Google TV devices will help us visualize how consumers could interact with such future systems and what technologies are required to develop such solutions. These devices will be used in both the Speech Recognition and Understanding course and the Advanced Speech Lab - "Special Topics in Signal Processing," explains Professor Ian Lane.

The researchers appreciate the generous gift from Google and look forward to making the Google TV experience even better.