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The effects of information scent on visual search in the hyperbolic tree browser
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Source ACM Transactions on Computer-Human Interaction (TOCHI) archive
Volume 10 ,  Issue 1  (March 2003) table of contents
Pages: 20 - 53  
Year of Publication: 2003
ISSN:1073-0516
Authors
Peter Pirolli  Palo Alto Research Center, Palo Alto, CA
Stuart K. Card  Palo Alto Research Center, Palo Alto, CA
Mija M. Van Der Wege  Palo Alto Research Center, Northfield, MN
Publisher
ACM  New York, NY, USA
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ABSTRACT

The Hyperbolic Tree is a focus + context information visualization that has been developed to amplify users' ability to navigate large tree-structured information systems. Information scent is a theoretical construct that captures one kind of interaction between task and display. Information scent is provided by task-relevant display cues, such as node labels on a tree that influence a user's visual search behavior and navigation decisions. An empirical Accuracy of Scent (AOS) score was developed to characterize a set of tasks that required users to find (Retrieval Tasks) or compare (Comparison Tasks) information in tree structures. Two experiments investigated the effect of information scent (tasks with different AOS scores) on performance with the Hyperbolic Tree Browser and the Microsoft Windows File Browser, which is a widely available conventional browser. Experiment 1 found no overall difference in performance time between the two browsers, but did reveal a marginal interaction of information scent with browser performance on Retrieval Tasks. On high AOS tasks the Hyperbolic showed faster performance, but on low AOS tasks the Windows File Browser showed faster performance. Experiment 2 focused only on the Retrieval tasks and revealed that Hyperbolic Tree users examined more tree nodes at a faster rate and visually searched through the tree hierarchy at a faster rate than users of a Windows File Browser lookalike, however, visual search paths were shortened in dense areas of the Hyperbolic Tree display when information scent was low. Two processes appear to affect visual search in the Hyperbolic display: strong information scent improves visual search, and the crowding of targets in a compressed region degrades visual search especially when there is weak information scent.


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.

 
1
Bell, W. J. 1991. Searching Behavior: The Behavioral Ecology of Finding Resources. Chapman and Hall, London.
2
 
3
4
5
6
 
7
Chun, M. M., and Wolfe, J. M. 1996. Just say no: How are visual searches terminated when there is no target present? Cogn. Psychol. 30, 39--78.
 
8
Clark, H. H. 1973. The language-as-fixed-effect fallacy: A critique of language statistics in psychological research. J. Verbal Learn. Verbal Behav. 12, 335--359.
 
9
Czerwinski, M. and Larson, K. 1997. The new Web browsers: They're cool but are they useful? In People and Computers XII: Proceedings of the HCI '97 Conference, H. Thimbleby, B. O'Conaill, and P. Thomas, Eds. Springer Verlag, Berlin.
 
10
Drury, C. G. and Clement, M. R. 1978. The effect of area, density, and number of background characters on visual search. Hum. Factors 20, 597--602.
11
 
12
13
 
14
 
15
Logan, G. D. 1996. The CODE theory of visual attention. Psychol. Rev. 103, 603--649.
16
17
18
 
19
 
20
Pirolli, P. and Card, S. K. 1999. Information foraging. Psychol. Rev. 106, 643--675.
21
 
22
Raaijmakers, J. G. W., Schrijnemakers, J. M. C., and Gremmen, F. 1999. How to deal with "The language-as-fixed-effect fallacy": Common misconceptions and alternative solutions. J. Memory Lang. 41, 416--426.
 
23
24
 
25
Stephens, D. W. and Krebs, J. R. 1986. Foraging Theory. Princeton University Press, Princeton, N.J.
 
26
Tullis, T. S. 1985. A computer-based tool for evaluating alphanumeric displays. In Interact '84, B. Shackel, Ed. Elsevier Science, Amsterdam, 719--723.
 
27
User Interface Engineering. 1999. Designing Information-Rich Web Sites. Author, Cambridge, MA.
 
28
 
29
Wolfe, J. M. 1994. Guided Search 2.0: A revised model of visual search. Psychonom. Bull. Rev. 1, 202--238.
 
30
Wolfe, J. M. 1998. What can 1 million trials tell us about visual search? Psychol. Sci. 9, 33--39.
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CITED BY  16

Collaborative Colleagues:
Peter Pirolli: colleagues
Stuart K. Card: colleagues
Mija M. Van Der Wege: colleagues