| The effect of information scent on searching information: visualizations of large tree structures |
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Proceedings of the working conference on Advanced visual interfaces
table of contents
Palermo, Italy
Pages: 161 - 172
Year of Publication: 2000
ISBN:1-58113-252-2
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Downloads (6 Weeks): 17, Downloads (12 Months): 82, Citation Count: 14
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ABSTRACT
Focus + context information visualizations have sought to amplify human cognition by increasing the amount of information immediately available to the user. We study how the focus + context distortion of the Hyperbolic Tree browser affects information foraging behavior in a task similar to the CHI '97 Browse Off. In comparison to a more conventional browser, Hyperbolic users searched more nodes, searched at a faster rate, and showed more learning. However, the performance of the Hyperbolic was found to be highly affected by “information scent”, proximal cues to the value of distal information. Strong information scent made hyperbolic search faster than with a conventional browser. Conversely, weak scent put the hyperbolic tree at a disadvantage. There appears to be two countervailing processes affecting visual attention in these displays: strong information scent expands the spotlight of attention whereas crowding of targets in the compressed region of the Hyperbolic narrows it. The results suggest design improvements.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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Card, S.K., J. Mackinlay, and B. Schneiderman, Information Visualization. 1999, Los Altos, CA: Morgan Kaufmann.
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John Lamping , Ramana Rao , Peter Pirolli, A focus+context technique based on hyperbolic geometry for visualizing large hierarchies, Proceedings of the SIGCHI conference on Human factors in computing systems, p.401-408, May 07-11, 1995, Denver, Colorado, United States
[doi> 10.1145/223904.223956]
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Drury, C.G. and M.R. Clement, The effect of area, density, and number of background characters on visual search. Human Factors, 1978.20: p. 597-602.
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Pirolli, P. and S.K. Card, Information foraging. Psychological Review, 1999.
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Wolfe, J.M., What can 1 million trials tell us about visual search? Psychological Science, 1998.9: p. 33- 39.
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Kevin Mullet , Christopher Fry , Diane Schiano, On your marks, get set, browse!, CHI '97 extended abstracts on Human factors in computing systems: looking to the future, March 22-27, 1997, Atlanta, Georgia
[doi> 10.1145/1120212.1120285]
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Bell, W.J., Searching behavior: The behavioral ecology of finding resources. 1991, London: Chapman and Hall. 358.
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CITED BY 14
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Hao Liu , Xing Xie , Xiaoou Tang , Zhi-Wei Li , Wei-Ying Ma, Effective browsing of web image search results, Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval, October 15-16, 2004, New York, NY, USA
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INDEX TERMS
Primary Classification:
I.
Computing Methodologies
I.3
COMPUTER GRAPHICS
Additional Classification:
H.
Information Systems
H.3
INFORMATION STORAGE AND RETRIEVAL
H.5
INFORMATION INTERFACES AND PRESENTATION (I.7)
H.5.2
User Interfaces (D.2.2, H.1.2, I.3.6)
Subjects:
Interaction styles (e.g., commands, menus, forms, direct manipulation)
I.
Computing Methodologies
I.2
ARTIFICIAL INTELLIGENCE
I.2.8
Problem Solving, Control Methods, and Search
Subjects:
Graph and tree search strategies
General Terms:
Experimentation,
Human Factors,
Management,
Measurement
Keywords:
focus + context,
hyperbolic tree,
information foraging,
information visualization
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