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Link colors guide a search

Published: 24 April 2004 Publication History

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

[1]
Brawn, P. and Snowden, R. J. Can one pay attention to a particular color? Perception & Psychophysics, 1999. 61(5): p. 860--873.
[2]
Christ, R. E. Review and analysis of color coding research for visual displays. Human Factors, 1975. 17(6): p. 542--70.
[3]
Hornof, A. J. Visual search and mouse pointing in labeled versus unlabeled two-dimensional visual hierarchies. ACM Transactions on Computer-Human Interaction, 2001. 8(3): p. 171--197.
[4]
National Cancer Institute Research-Based Web Design & Usability Guidelines. 2002. http://www.usability.gov/guidelines/index.html
[5]
Nielsen, J. Top Ten Mistakes in Web Design. 1999. http://www.useit.com/alertbox/9605.html
[6]
Poisson, M. E. and Wilkinson, F. Distractor ratio and grouping processes in visual conjunction search. Perception, 1992. 21(1): p. 21--38.
[7]
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.
[8]
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.
[9]
Spool, J. M., et al. Web Site Usability: A Designer's Guide. 1997, North Andover, MA: User Interface Engineering.
[10]
Treisman, A. The Perception of Features and Objects, in Visual Attention, R. D. Wright, Editor. 1998, Oxford University Press: New York. p. 26--54.
[11]
Wilson, M. D. The MRC Psycholinguistic Database: Machine Usable Dictionary, Version 2. Behavior Research Methods, Instruments, and Computers, 1988. 20: p. 6--11.
[12]
Zohary, E. and Hochstein, S. How serial is serial processing in vision? Perception, 1989. 18(2): p. 191--200.

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cover image ACM Conferences
CHI EA '04: CHI '04 Extended Abstracts on Human Factors in Computing Systems
April 2004
975 pages
ISBN:1581137036
DOI:10.1145/985921
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 April 2004

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Author Tags

  1. eye tracking
  2. hypertext links
  3. visual search
  4. web page design

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