Query by
Attention:
Visually Searchable Information Maps
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Mark A. Foltz |
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Randall Davis |
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MIT Artificial Intelligence Lab |
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July 25, 2001 |
Automobiles
Slide 3
Outline
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Query by Attention |
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Review of Spatial Selection and Visual
Search |
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Mapping Info Dimensions onto Perceptual
Dimensions |
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Examples |
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Related Work, Conclusion |
Perceptual Filtering
Information Filtering
Why Query by Attention?
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User controls attention, instead of
manipulating an interface |
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Rapid adjustment of query parameters |
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Immediate feedback |
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Can lead to more complete exploration
of info space |
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Good Perceptual
Dimensions
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Preattentive map |
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Attended items are immediately
available |
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Symmetric |
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Can filter for each kind of item
equally well |
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Many values |
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Can code information precisely |
Good Perceptual
Dimensions
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Spatial selection |
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Attention directed to contiguous
regions |
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Color |
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Shape |
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Depth |
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Motion (not always symmetric) |
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Size |
Spatial Selection
Spatial Selection
Spatial Selection
Spatial Selection
Spatial Selection
Color
Shape
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Many factors influence the efficiency
of search |
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line terminations, closure, holes,
intersections |
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A conservative list |
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A less conservative list |
Efficient Conjunctive
Searches
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Color and Shape |
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Egeth et al. 1984 |
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Motion and Shape |
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McLeod et al. 1988, McLeod et al. 1991 |
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Motion and Orientation |
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Driver and McLeod 1992 |
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Motion and Depth |
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Nakayama and Silverman, 1986 |
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Good Perceptual
Dimensions
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Spatial selection |
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Precise |
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Can query by range |
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Hierarchical |
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Color |
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Nine values |
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Used discretely here |
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Shape |
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Structure of this dimension poorly
understood |
Mapping Information to
Perception
Mapping Information to
Perception
Mapping Information to
Perception
Mapping Information to
Perception
Mapping Information to
Perception
Mapping Information to
Perception
Mapping Information to
Perception
Slide 26
Mutual Funds
Mutual Funds
Related Work
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Interactive information filtering |
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Ahlberg and Shneiderman, CHI 1994 |
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Spotfire www.spotfire.com |
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Studies of user attention |
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Pirolli et al., CHI 2001 |
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Presentation design systems |
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VQE (Derthick et al. UIST 1997) |
Future Work
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Handling large numbers of items |
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IMDB: 12,511 films 1980-2001 |
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Let user filter first |
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Handling many information attributes |
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Multiple views, dimension reduction |
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Making it easy to create these kinds of
maps |
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Assisting or automating info design |
Conclusion
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People perceptually filter. |
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Take advantage to filter abstract
information. |
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A method to map information dimensions
to perceptual dimensions. |