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A review of the findings and theories on surface size effects on visual attention

Overview of attention for article published in Frontiers in Psychology, January 2013
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Title
A review of the findings and theories on surface size effects on visual attention
Published in
Frontiers in Psychology, January 2013
DOI 10.3389/fpsyg.2013.00902
Pubmed ID
Authors

Anne O. Peschel, Jacob L. Orquin

Abstract

That surface size has an impact on attention has been well-known in advertising research for almost a century; however, theoretical accounts of this effect have been sparse. To address this issue, we review studies on surface size effects on eye movements in this paper. While most studies find that large objects are more likely to be fixated, receive more fixations, and are fixated faster than small objects, a comprehensive explanation of this effect is still lacking. To bridge the theoretical gap, we relate the findings from this review to three theories of surface size effects suggested in the literature: a linear model based on the assumption of random fixations (Lohse, 1997), a theory of surface size as visual saliency (Pieters etal., 2007), and a theory based on competition for attention (CA; Janiszewski, 1998). We furthermore suggest a fourth model - demand for attention - which we derive from the theory of CA by revising the underlying model assumptions. In order to test the models against each other, we reanalyze data from an eye tracking study investigating surface size and saliency effects on attention. The reanalysis revealed little support for the first three theories while the demand for attention model showed a much better alignment with the data. We conclude that surface size effects may best be explained as an increase in object signal strength which depends on object size, number of objects in the visual scene, and object distance to the center of the scene. Our findings suggest that advertisers should take into account how objects in the visual scene interact in order to optimize attention to, for instance, brands and logos.

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 2%
Malaysia 1 1%
United States 1 1%
Germany 1 1%
Unknown 86 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 18%
Researcher 12 13%
Student > Bachelor 11 12%
Student > Master 9 10%
Student > Doctoral Student 5 5%
Other 11 12%
Unknown 27 30%
Readers by discipline Count As %
Psychology 18 20%
Business, Management and Accounting 8 9%
Design 5 5%
Engineering 5 5%
Computer Science 5 5%
Other 21 23%
Unknown 29 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 December 2013.
All research outputs
#14,767,396
of 22,736,112 outputs
Outputs from Frontiers in Psychology
#16,014
of 29,568 outputs
Outputs of similar age
#175,366
of 280,780 outputs
Outputs of similar age from Frontiers in Psychology
#649
of 969 outputs
Altmetric has tracked 22,736,112 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 29,568 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 280,780 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 969 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.