Speech-Filtered Bubble Ray: Improving Target Acquisition on Display Walls
Date
2007-06-29
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Abstract
The rapid development of large interactive wall displays has been
accompanied by research on methods that allow people to interact with the
display at a distance. The basic method for target acquisition is by ray
casting a cursor from one s pointing finger or hand position; the problem is
that selection is slow and errorprone with small targets. A better method is
the bubble cursor that resizes the cursor s activation area to effectively
enlarge the target size. The catch is that this technique s effectiveness
depends on the proximity of surrounding targets: while beneficial in sparse
spaces, it is less so when targets are densely packed together. Our method is
the speech-filtered bubble ray that uses speech to transform a dense target
space into a sparse one. Our strategy builds on what people already do: people
pointing to distant objects in a physical workspace typically disambiguate
their choice through speech. For example, a person could point to a stack of
books and say the green one . Gesture indicates the approximate location for
the search, and speech filters unrelated books from the search. Our
technique works the same way; a person specifies a property of the desired
object, and only the location of objects matching that property trigger the
bubble size. In a controlled evaluation, people were faster and preferred
using the speech-filtered bubble ray over the standard bubble ray and ray
casting approach.
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Computer Science