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Photo of Selker Ted SelkerHotline Home

Ted Selker is an Associate Professor at the MIT Media and Arts Technology Laboratory and the Director of the Context Aware Computing Lab ( Prior to joining MIT faculty, in November 1999, Selker was an IBM Fellow and ran a large research group called User Systems Ergonomics Research at IBM Research. He has served as a consulting professor at Stanford University, taught at Hampshire University of Massachusetts, Amherst and Brown Universities. Selker also worked at Xerox PARC and Atari Research Labs.

Selker's research has borne fruit in several product lines and has contributed to products ranging from notebook computers to operating systems. He is known for the design of the "TrackPoint" in-keyboard pointing device found in many notebook computers. His PhD work "COACH" demonstrated that an adaptive agent can improves user performance.

Selker work is documented in dozens of industry awards, papers and invention patents .


This scientist's answers are available below.Please see our resources page for the scientists home page and other related infomation.

Selker Responds:

Diana Reed asks:
I'm a special education student at ETSU and I am interested in how this technology could be used as communication devices for non verbal students. Any chance that this could become affordable enough (and user friendly enough) that it could be put to actual use by non-communicative students instead of stuck on a shelf like most of the first and second generation communication devices? Particularly the eye gaze technology for kids that have no outward signs of pleasure responses? Super work! You give us hope!
thanks, Diana

Selker's response:
The eye gaze work in Eye aRe is very cheap, the circuit board and battery Are the most expensive things in it! This system could be developed to Recognize stare (interest) blinking rapidly (nervousness, discomfort), winking, eyes open and eyes closed. Such a set of things could be used by people to control their environment. Someone would have to want to make the product and deploy it... how about you!

John asks:
Can the floor tell male from female? What other kind of information could the floor be programmed to get?

Selker's response:
Some work has been done on gait. It seems that we can recognized various things by how people move and walk. Still, the best things for the floor are, noticing that things have moved, making paths for where they have moved to (finding keys by showing you the paths for where you have been) showing where people are associating, making games on the floor, weighing food ingredients or other things.

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