MIT researcher Deb Roy wanted to understand how his infant son learned language — so he wired up his house with videocameras to catch every moment (with exceptions) of his son’s life, then parsed 90,000 hours of home video to watch “gaaaa” slowly turn into “water.” Astonishing, data-rich research with deep implications for how we learn. (Recorded at TED2011, March 2011, in Long Beach, California. Duration: 19:52)
Watch Deb Roy’s talk on TED.com where you can download it, rate it, comment on it and find other talks and performances from our archive of 800+ TEDTalks.
Kurt Frenier commented on Apr 14 2011
This is AMAZING, eye-opening, and “wonderful” … full of wonders, and with lots of things to wonder about! Shared it on http://www.facebook.com/author.Kurt.Frenier
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Rohit Kapoor commented on Mar 21 2011
Some of the technologies used are pretty cool. Transcribing through the video to look for words and patterns. Being able to locate hotspots where words are spoken, people move or stay etc. Interlaying it with other dimensions to generate visual maps.
Conclusions are pedestrian, if any. Logical guessing and common knowledge would already point to the same.
Future implications seem a bit unclear except that things become more real time.
Sebastian Betti commented on Mar 21 2011
I see in connecting mass media and social media together via semantic analysis a powerful tool. If you add visualizing tools to it, is a plus.
I think that having a way to look at the engagement properties of media content thruout opinion mining is an important input for advertising, for instance; particularly considering that nowadays the ad industry in mass media is mainly measuring content efficiency based on how many people are watching. But, as you well said Rohit, “logical guessing and common knowledge would already point to the same.” I mean, the human factor will always be crucial, but great tools will produce greater achievements.
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