HML Press

Eyeball-Tracking Signs Bring Click-Counting Out Of Doors

By Jenna Crombie | NEWSWEEK
Nov 26, 2007 Issue

Counting clicks on a Web page has become a routine and rich vein for advertisers, who are always eager to know how many people are looking at their commercials. But what about billboards, which still exist in old-fashioned physical space without any connection to the Internet? Advertisers are starting to use high-tech ways of getting instant feedback on sidewalks and street corners.

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Long-range eye tracker enables selling ads “by the eyeball”

Queen’s University spin-off Xuuk unveils technology today at Google

May 7, 2007

KINGSTON, Ont. – A Queen’s University Computing professor’s invention – to be unveiled today at Google’s corporate headquarters in California – provides a unique, affordable way for advertisers to track the effectiveness of their messages by measuring how many people are looking at their billboards and screens.

Witness the Fitness

Media Advisory
October 10, 2006

Witness the Fitness at Queen's Haynes Hall

Kingston, Ont. – On October 12, at sunset, a virtual fitness school will appear on the walls of Haynes Hall in Kingston, located on the corner of Clarence Street and Brock Street.

The exhibit will run from 7 pm to 1 am on Thursday October 12 through Sunday October 15.

Attentive Office Cubicles

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“Attentive” cubicles help workers focus in busy offices
Monday December 20, 2004

(Kingston, ON) – An “attentive” office cubicle that blocks noise and visual distractions when you’re trying to work, and then opens communication channels when you’re ready to socialize, is just one of the innovative new devices developed by Queen’s University’s Human Media Laboratory (HML).

Attentive User Interfaces

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Researchers invent computers that “pay attention” to users
Tuesday April 01, 2003

New devices use eye contact to prioritize, sense needs, and wait their turn

(Kingston, ON) – With increasing numbers of digital devices vying for our attention and time today, researchers from the Human Media Lab (HML) at Queen’s University have developed a new concept that allows computers to pay attention to their users’ needs.