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Fast and Conspicuous? Quantifying Salience With the Theory of Visual Attention.

Krüger A, Tünnermann J, Scharlau I - Adv Cogn Psychol (2016)

Bottom Line: Only a few studies systematically related salience effects to a common salience measure, and they are partly outdated in the light of new findings on the time course of salience effects.With this procedure, TVA becomes applicable to a broad range of salience-related stimulus material.A 4th experiment substantiates its applicability to the luminance dimension.

View Article: PubMed Central - PubMed

Affiliation: Faculty of Arts and Humanities, Paderborn University.

ABSTRACT
Particular differences between an object and its surrounding cause salience, guide attention, and improve performance in various tasks. While much research has been dedicated to identifying which feature dimensions contribute to salience, much less regard has been paid to the quantitative strength of the salience caused by feature differences. Only a few studies systematically related salience effects to a common salience measure, and they are partly outdated in the light of new findings on the time course of salience effects. We propose Bundesen's Theory of Visual Attention (TVA) as a theoretical basis for measuring salience and introduce an empirical and modeling approach to link this theory to data retrieved from temporal-order judgments. With this procedure, TVA becomes applicable to a broad range of salience-related stimulus material. Three experiments with orientation pop-out displays demonstrate the feasibility of the method. A 4th experiment substantiates its applicability to the luminance dimension.

No MeSH data available.


Related in: MedlinePlus

Estimated processing capacities (C) for Experiment 3 inthe salience condition (Cs; blue) and theneutral condition (Cn; red). The differenceof 0 is in the highest density interval (HDI) if both distributions aresubtracted, which indicates that the overall processing capacity wassimilar in both conditions.
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Figure 15: Estimated processing capacities (C) for Experiment 3 inthe salience condition (Cs; blue) and theneutral condition (Cn; red). The differenceof 0 is in the highest density interval (HDI) if both distributions aresubtracted, which indicates that the overall processing capacity wassimilar in both conditions.

Mentions: The overall processing capacity, again, was the same in both conditions as shownin Figure 15. Hence, weights areinterpretable as a redistribution of the same resources.


Fast and Conspicuous? Quantifying Salience With the Theory of Visual Attention.

Krüger A, Tünnermann J, Scharlau I - Adv Cogn Psychol (2016)

Estimated processing capacities (C) for Experiment 3 inthe salience condition (Cs; blue) and theneutral condition (Cn; red). The differenceof 0 is in the highest density interval (HDI) if both distributions aresubtracted, which indicates that the overall processing capacity wassimilar in both conditions.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4862317&req=5

Figure 15: Estimated processing capacities (C) for Experiment 3 inthe salience condition (Cs; blue) and theneutral condition (Cn; red). The differenceof 0 is in the highest density interval (HDI) if both distributions aresubtracted, which indicates that the overall processing capacity wassimilar in both conditions.
Mentions: The overall processing capacity, again, was the same in both conditions as shownin Figure 15. Hence, weights areinterpretable as a redistribution of the same resources.

Bottom Line: Only a few studies systematically related salience effects to a common salience measure, and they are partly outdated in the light of new findings on the time course of salience effects.With this procedure, TVA becomes applicable to a broad range of salience-related stimulus material.A 4th experiment substantiates its applicability to the luminance dimension.

View Article: PubMed Central - PubMed

Affiliation: Faculty of Arts and Humanities, Paderborn University.

ABSTRACT
Particular differences between an object and its surrounding cause salience, guide attention, and improve performance in various tasks. While much research has been dedicated to identifying which feature dimensions contribute to salience, much less regard has been paid to the quantitative strength of the salience caused by feature differences. Only a few studies systematically related salience effects to a common salience measure, and they are partly outdated in the light of new findings on the time course of salience effects. We propose Bundesen's Theory of Visual Attention (TVA) as a theoretical basis for measuring salience and introduce an empirical and modeling approach to link this theory to data retrieved from temporal-order judgments. With this procedure, TVA becomes applicable to a broad range of salience-related stimulus material. Three experiments with orientation pop-out displays demonstrate the feasibility of the method. A 4th experiment substantiates its applicability to the luminance dimension.

No MeSH data available.


Related in: MedlinePlus