| Link colors guide a search |
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Conference on Human Factors in Computing Systems
archive
CHI '04 extended abstracts on Human factors in computing systems
table of contents
Vienna, Austria
SESSION: Late breaking result papers
table of contents
Pages: 1367 - 1370
Year of Publication: 2004
ISBN:1-58113-703-6
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| Bibliometrics |
Downloads (6 Weeks): 9, Downloads (12 Months): 55, Citation Count: 3
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ABSTRACT
While much basic research exists on the effects of various visual properties on visual search, the application of such research to real-world tasks is lacking. The purpose of this research is to address the lack of empirical validation for design guidelines that affect visual search. One common design element used in Web interface design is link color. The general research question asked is how text color affects visual search. This research demonstrates, with reaction time and eye movement analysis, the dramatic but imperfect control a designer has on guiding the attention of users with text color. Experimental support for the differentiation of visited link colors is presented, along with analyses of the advantages provided by differentiating link colors.
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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Brawn, P. and Snowden, R. J. Can one pay attention to a particular color? Perception & Psychophysics, 1999. 61(5): p. 860--873.
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Christ, R. E. Review and analysis of color coding research for visual displays. Human Factors, 1975. 17(6): p. 542--70.
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National Cancer Institute Research-Based Web Design & Usability Guidelines. 2002. http://www.usability.gov/guidelines/index.html
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Nielsen, J. Top Ten Mistakes in Web Design. 1999. http://www.useit.com/alertbox/9605.html
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Poisson, M. E. and Wilkinson, F. Distractor ratio and grouping processes in visual conjunction search. Perception, 1992. 21(1): p. 21--38.
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Shen, J., Reingold, E. M., and Pomplun, M. Guidance of eye movements during conjunctive visual search: The distractor-ratio effect. Canadian Journal of Experimental Psychology, 2003. 57(2): p. 76--96.
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Shih, S.-I. and Sperling, G. Is there feature-based attentional selection in visual search? Journal of Experimental Psychology: Human Perception & Performance, 1996. 22(3): p. 758--779.
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Treisman, A. The Perception of Features and Objects, in Visual Attention, R. D. Wright, Editor. 1998, Oxford University Press: New York. p. 26--54.
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Wilson, M. D. The MRC Psycholinguistic Database: Machine Usable Dictionary, Version 2. Behavior Research Methods, Instruments, and Computers, 1988. 20: p. 6--11.
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Zohary, E. and Hochstein, S. How serial is serial processing in vision? Perception, 1989. 18(2): p. 191--200.
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CITED BY 3
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Thorsten Joachims , Laura Granka , Bing Pan , Helene Hembrooke , Geri Gay, Accurately interpreting clickthrough data as implicit feedback, Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval, August 15-19, 2005, Salvador, Brazil
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Thorsten Joachims , Laura Granka , Bing Pan , Helene Hembrooke , Filip Radlinski , Geri Gay, Evaluating the accuracy of implicit feedback from clicks and query reformulations in Web search, ACM Transactions on Information Systems (TOIS), v.25 n.2, p.7-es, April 2007
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INDEX TERMS
Primary Classification:
H.
Information Systems
H.5
INFORMATION INTERFACES AND PRESENTATION (I.7)
H.5.2
User Interfaces (D.2.2, H.1.2, I.3.6)
Subjects:
Evaluation/methodology
Additional Classification:
H.
Information Systems
H.5
INFORMATION INTERFACES AND PRESENTATION (I.7)
H.5.2
User Interfaces (D.2.2, H.1.2, I.3.6)
Subjects:
Style guides
H.5.4
Hypertext/Hypermedia
Subjects:
User issues
General Terms:
Design,
Experimentation,
Human Factors,
Verification
Keywords:
eye tracking,
hypertext links,
visual search,
web page design
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