Podcast: Sixth Sense AR Tech: TED 2009
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Podcast length: 9 minutes
This podcast comes from TED 2009. TED stands for Technology, Entertainment, Design. It is a conference that has been annual since 1984, and has become one of the most elite technological events on the calendar. This podcasts is the talk by Pattie Maes of the MIT Media Lab's new Fluid Interfaces Group, presenting the work of her student, Pranav Mistry, and the Sixth Sense technological augmenation system that was the talk of the conference.
Pattie Maes was the key architect behind what was once called "collaborative filtering" and has become a key to Web 2.0: the immense engine of recommendations -- or "things like this" -- fueled by other users. In the 1990s, Maes' Software Agents program at MIT created Firefly, a technology (and then a startup) that let users choose songs they liked, and find similar songs theyd never heard of, by taking cues from others with similar taste. This brought a sea change in the way we interact with software, with culture and with one another.
Now Maes is working on a similarly boundary-breaking initiative. Her newly founded Fluid Interfaces Group, also part of the MIT Media Lab, aims to rethink the ways in which humans and computers interact, partially by redefining both human and computer. In Maes' world (and really, in all of ours), the computer is no longer a distinct object, but a source of intelligence thats embedded in our environment. By outfitting ourselves with digital accessories, we can continually learn from (and teach) our surroundings.
Pranav Mistry is a PhD student in the Fluid Interfaces Group at MIT's Media Lab. Before his studies at MIT, he worked with Microsoft as a UX researcher. Mistry is passionate about integrating the digital informational experience with our real-world interactions.
Some previous projects from Mistry's work at MIT includes intelligent sticky notes, Quickies, that can be searched and can send reminders; a pen that draws in 3D; and TaPuMa, a tangible public map that can act as Google of the physical world. His research interests also include Gestural and Tangible Interaction, Ubiquitous Computing, AI, Machine Vision, Collective Intelligence and Robotics.
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