Computer scientists at the Palo Alto Research Center also are trying to bring user interfaces to life by replacing raw information with material that selects itself based on what the computer thinks the user wants to know. PARC's user-interface group published a paper in January describing new software called ScentHighlights that helps users skim information by extracting key sentences from an electronic book, relevant to keywords a user types in or clicks on in the text. The system, based on a PARC theory called information scent, is part of an emerging class of user interfaces that react to what gets a user's attention, says Stuart Card, manager for user-interface research and a senior research fellow at PARC.
PARC's user-interface work is part of a technology continuum, says Stuart Card, manager for user-interface research and a senior research fellow at PARC.
ScentHighlights helps E-books make inferences about their own content. In experiments with an electronic version of the book Biohazard, about the author Ken Alibek's experiences working on biological weapons in the former Soviet Union, users skimmed passages of the text to effectively complete tasks such as finding or comparing facts. Exact keyword matches to terms users typed or highlighted appeared in pastel colors, and passages that were related but not exact keyword matches appeared in gray. Says PARC research staff member Ed Chi, "When I type in a few words, [the software] seems to know what sentence I ought to read. The AI is part of the pattern recognition."
Artificial-intelligence research dates back to 1956, when pioneers at Stanford and MIT held a conference at Dartmouth College to explore the technology. If critics say it has fallen short of expectations, perhaps that's because its practitioners have aimed so high. And if today's AI researchers still draw fire 50 years hence, that could be one measure of their success.
Illustration by Brian Stauffer