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Abstract

How do people efficiently locate content in a display? We investigate the effect of text layout on how people decide which area of a display to search first. Using a visual search paradigm, participants were required to locate a known target within a two-column display, in which items were grouped into semantic clusters, and the physical distance between items varied. For ‘mixed’ trials, the distance between items in each column was varied. Results showed that participants preferred to search the sparser of the two columns first, even though they were faster at locating the target in the denser column. This finding suggests that participants were adopting an inefficient search strategy for locating the target item. Discussion focuses on the implications for models that assume people rationally adapt their search strategy to maximize the gain of task-relevant information over time.

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References

Bertera

J.H.

Rayner

(2000). Eye movements and the span of the effective visual stimulus in visual search. Perception and Psychophysics, 62, 576–585.

Brumby

D.P.

Howes

(2008). Strategies for Guiding Interactive Search: An Empirical Investigation Into the Consequences of Label Relevance for Assessment and Selection. Human-Computer Interaction, 23, 1–46.

Buscher

Cutrell

Morris

M. R.

(2009). What do you see when you're surfing? Using eye tracking to predict salient regions of web pages. In the Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI′09. New York, NY: ACM Press.

Burke

Hornof

A.J.

Nilsen

Gorman

(2005). High-cost banner blindness: Ads increase perceived workload, hinder visual search, and are forgotten. ACM Transactions on Computer-Human Interaction, 12(4), 423–445.

Cox

A.L.

Young

R.M.

(2004). A rational model of the effect of information scent on the exploration of menus. In Proceedings of the 6th International Conference on Cognitive Modeling, (pp. 82–87). Mahwah, NJ: LEA.

Cutrell

Guan

(2007). What are you looking for?: an eye-tracking study of information usage in web search. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI′07 (pp. 407–416). New York, NY: ACM Press.

Everett

S.P.

Byrne

M.D.

(2004). Unintended effects: Varying icon spacing changes users' visual search strategy. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI′04 (pp. 695–702). New York, NY: ACM Press.

W.-T.

Pirolli

(2007), SNIF-ACT: A cognitive model of user navigation on the World Wide Web. Human-Computer Interaction, 22, 355–412.

Halverson

Hornof

A.J.

(2004). Local density guides visual search: Sparse groups are first and faster. In the Proceedings of the 48th Annual Meeting of the Human Factors and Ergonomics Society (pp. 1860–1864). Santa Monica, CA: HFES.

10.

Halverson

(2008). An “Active Vision” Computational Model of Visual Search for Human-Computer Interaction. Doctoral Dissertation in Computer and Information Science. The University of Oregon, Eugene, OR.

11.

Halverson

Hornof

A.J.

(2008). The effects of semantic grouping on visual search. In the Extended Abstracts of ACM CHI 2008: Conference on Human Factors in Computing Systems (pp. 3471–3476). New York, NY: ACM Press.

12.

Hornof

A.J.

(2001). Visual search and mouse pointing in labeled versus unlabeled two-dimensional visual hierarchies. ACM Transactions on Computer-Human Interaction, 8(3), 171–197.

13.

Kieras

(2009). The persistent visual store as the locus of fixation memory in visual search tasks. In the Proceedings of the 9th International Conference on Cognitive Modeling, ICCM2009, Manchester, UK.

14.

Kieras

Meyer

D.E.

(1997). An overview of the EPIC architecture for cognition and performance with application to human-computer interaction. Human-Computer Interaction, 12, 391–438.

15.

Ojanpää

Näsänen

Kojo

(2002). Eye movements in the visual search of word lists. Vision Research, 42, 1499–1512.

16.

Pirolli

Card

S.K.

(1999). Information foraging. Psychological Review, 106, 643–675.

17.

Tseng

Y.C.

Howes

(2008). The adaptation of visual search strategy to expected information gain. In In the Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI′08. New York, NY: ACM Press.

18.

Yoon

Feinberg

(2004). Category norms as a function of culture and age: Comparisons of item responses to 105 categories by American and Chinese adults. Psychology and Aging, 19, 379–393.

Density Guides Visual Search: Sparse Groups are First even when Slower

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