The Eyes Have It
When a new window or webpage pops up on your computer screen, what
do you look at first? Michael Byrne, assistant professor of psychology
at Rice, might be able to tell you. He has developed a model of
human thinking and performance that can predict how well people
locate and select various options on a computer screen. The model
has implications for designing air-traffic-control monitors, in-car
navigation systems, webpages, and other computer displays to present
on-screen information most effectively to the viewer.
“Our theory and model allow scientists to make predictions
about human performance on tasks that involve computer displays,”
says Byrne. “We can tell, for example, where to position information
on a computer screen so that the user is more likely to see it quickly.”
Byrne conducted the research at Carnegie Mellon University before
joining the faculty at Rice, where he analyzed the results that
are published in the July issue of the International Journal
of Human Computer Studies.
“Understanding the interaction of a user with a designed device
like a computer requires a clear understanding of three components,”
Byrne says. “The user’s cognitive, perceptual, and motor
capabilities; the task; and the device used to accomplish the task
can impact the result.”
Byrne showed each of the 11 participants in his study more than
100 questions that involved identifying a particular number or letter
in lists of random numbers and letters on a computer screen. He
timed how long it took the participants to spot the selected symbols.
A camera mounted on a headband worn by the participants tracked
their eye movements.
Using a theory of cognition known as ACT-R/PM and an eye-tracking
model, Byrne predicted how long it would take the participants to
click on the targeted items. He also predicted the other items they
would look at en route to the targeted items, based on the characters
or numbers they were likely to fixate on and the order in which
they were likely to read information on the display. Byrne found
that his predictions averaged within 15 percent of participants’
actual response times—“close enough to be useful to
designers,” he says.
Engineers who design air-traffic-control monitors, for example,
could use the theory and model to position critical information
on a screen where the user is most likely to see it first. “Keeping
up with the volume of information on a computer display is often
a problem,” Byrne said. “A designer can optimize the
rate at which people can process information on the screen by using
the theory and model we studied. A strategic placement of menu items
can make it possible for people to read the most important information
fast enough to keep up with their work so they don’t end up
in a situation where they’re likely to make errors.”
Byrne’s research was supported by the National Science Foundation,
the Office of Naval Research, the National Institute of Mental Health,
and NASA.
—B. J. Almond
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