---
_id: '6075'
abstract:
- lang: eng
  text: For almost three decades, the theory of visual attention (TVA) has been successful
    in mathematically describing and explaining a wide variety of phenomena in visual
    selection and recognition with high quantitative precision. Interestingly, the
    influence of feature contrast on attention has been included in TVA only recently,
    although it has been extensively studied outside the TVA framework. The present
    approach further develops this extension of TVA’s scope by measuring and modeling
    salience. An empirical measure of salience is achieved by linking different (orientation
    and luminance) contrasts to a TVA parameter. In the modeling part, the function
    relating feature contrasts to salience is described mathematically and tested
    against alternatives by Bayesian model comparison. This model comparison reveals
    that the power function is an appropriate model of salience growth in the dimensions
    of orientation and luminance contrast. Furthermore, if contrasts from the two
    dimensions are comb
article_type: original
author:
- first_name: Alexander
  full_name: Krüger, Alexander
  last_name: Krüger
- first_name: Jan
  full_name: Tünnermann, Jan
  last_name: Tünnermann
- first_name: Ingrid
  full_name: Scharlau, Ingrid
  id: '451'
  last_name: Scharlau
  orcid: 0000-0003-2364-9489
citation:
  ama: Krüger A, Tünnermann J, Scharlau I. Measuring and modeling salience with the
    theory of visual attention. <i>Attention, Perception, &#38; Psychophysics</i>.
    2017;79(6):1593-1614. doi:<a href="https://doi.org/10.3758/s13414-017-1325-6">10.3758/s13414-017-1325-6</a>
  apa: Krüger, A., Tünnermann, J., &#38; Scharlau, I. (2017). Measuring and modeling
    salience with the theory of visual attention. <i>Attention, Perception, &#38;
    Psychophysics</i>, <i>79</i>(6), 1593–1614. <a href="https://doi.org/10.3758/s13414-017-1325-6">https://doi.org/10.3758/s13414-017-1325-6</a>
  bibtex: '@article{Krüger_Tünnermann_Scharlau_2017, title={Measuring and modeling
    salience with the theory of visual attention.}, volume={79}, DOI={<a href="https://doi.org/10.3758/s13414-017-1325-6">10.3758/s13414-017-1325-6</a>},
    number={6}, journal={Attention, Perception, &#38; Psychophysics}, author={Krüger,
    Alexander and Tünnermann, Jan and Scharlau, Ingrid}, year={2017}, pages={1593–1614}
    }'
  chicago: 'Krüger, Alexander, Jan Tünnermann, and Ingrid Scharlau. “Measuring and
    Modeling Salience with the Theory of Visual Attention.” <i>Attention, Perception,
    &#38; Psychophysics</i> 79, no. 6 (2017): 1593–1614. <a href="https://doi.org/10.3758/s13414-017-1325-6">https://doi.org/10.3758/s13414-017-1325-6</a>.'
  ieee: 'A. Krüger, J. Tünnermann, and I. Scharlau, “Measuring and modeling salience
    with the theory of visual attention.,” <i>Attention, Perception, &#38; Psychophysics</i>,
    vol. 79, no. 6, pp. 1593–1614, 2017, doi: <a href="https://doi.org/10.3758/s13414-017-1325-6">10.3758/s13414-017-1325-6</a>.'
  mla: Krüger, Alexander, et al. “Measuring and Modeling Salience with the Theory
    of Visual Attention.” <i>Attention, Perception, &#38; Psychophysics</i>, vol.
    79, no. 6, 2017, pp. 1593–614, doi:<a href="https://doi.org/10.3758/s13414-017-1325-6">10.3758/s13414-017-1325-6</a>.
  short: A. Krüger, J. Tünnermann, I. Scharlau, Attention, Perception, &#38; Psychophysics
    79 (2017) 1593–1614.
date_created: 2018-12-10T07:05:04Z
date_updated: 2022-06-06T14:08:05Z
department:
- _id: '424'
doi: 10.3758/s13414-017-1325-6
intvolume: '        79'
issue: '6'
keyword:
- Salience
- Visual attention
- Bayesian inference
- Theory of visual attention
- Computational modeling
- Inference
- Object Recognition
- Theories
- Visual Perception
- Visual Attention
- Luminance
- Perceptual Orientation
- Statistical Probability
- Stimulus Salience
- Computational Modeling
language:
- iso: eng
page: 1593 - 1614
publication: Attention, Perception, & Psychophysics
publication_identifier:
  issn:
  - 1943-3921
publication_status: published
status: public
title: Measuring and modeling salience with the theory of visual attention.
type: journal_article
user_id: '42165'
volume: 79
year: '2017'
...
---
_id: '6094'
abstract:
- lang: eng
  text: In the current study, we tested whether search for a visual motion singleton
    presented among several coherently moving distractors can be more efficient than
    search for a motion stimulus presented with a single distractor. Under a variety
    of conditions, multiple spatially distributed and coherently moving distractors
    facilitated search for a uniquely moving target relative to a single-motion-distractor
    condition (Experiments 1,3, and 4). Color coherencies among static distractors
    were not equally effective (Experiments 1 and 2). These results confirm that humans
    are highly sensitive to antagonistically directed motion signals in backgrounds
    compared with spatially more confined regions of visual images. (PsycINFO Database
    Record (c) 2016 APA, all rights reserved)
author:
- first_name: Ulrich
  full_name: Ansorge, Ulrich
  last_name: Ansorge
- first_name: Ingrid
  full_name: Scharlau, Ingrid
  id: '451'
  last_name: Scharlau
  orcid: 0000-0003-2364-9489
- first_name: Kirsten
  full_name: Labudda, Kirsten
  last_name: Labudda
citation:
  ama: Ansorge U, Scharlau I, Labudda K. Visual search for a motion singleton among
    coherently moving distractors. <i>Psychological Research</i>. 2006;70(2):103-116.
  apa: Ansorge, U., Scharlau, I., &#38; Labudda, K. (2006). Visual search for a motion
    singleton among coherently moving distractors. <i>Psychological Research</i>,
    <i>70</i>(2), 103–116.
  bibtex: '@article{Ansorge_Scharlau_Labudda_2006, title={Visual search for a motion
    singleton among coherently moving distractors.}, volume={70}, number={2}, journal={Psychological
    Research}, author={Ansorge, Ulrich and Scharlau, Ingrid and Labudda, Kirsten},
    year={2006}, pages={103–116} }'
  chicago: 'Ansorge, Ulrich, Ingrid Scharlau, and Kirsten Labudda. “Visual Search
    for a Motion Singleton among Coherently Moving Distractors.” <i>Psychological
    Research</i> 70, no. 2 (2006): 103–16.'
  ieee: U. Ansorge, I. Scharlau, and K. Labudda, “Visual search for a motion singleton
    among coherently moving distractors.,” <i>Psychological Research</i>, vol. 70,
    no. 2, pp. 103–116, 2006.
  mla: Ansorge, Ulrich, et al. “Visual Search for a Motion Singleton among Coherently
    Moving Distractors.” <i>Psychological Research</i>, vol. 70, no. 2, 2006, pp.
    103–16.
  short: U. Ansorge, I. Scharlau, K. Labudda, Psychological Research 70 (2006) 103–116.
date_created: 2018-12-10T07:08:57Z
date_updated: 2022-06-07T00:21:31Z
department:
- _id: '424'
extern: '1'
intvolume: '        70'
issue: '2'
keyword:
- visual search
- motion singleton
- visual images
- visual motion
- coherently moving distractors
- Adult
- Attention
- Exploratory Behavior
- Female
- Humans
- Male
- Motion Perception
- Visual Perception
- Motion Perception
- Stimulus Salience
- Visual Search
- Distraction
- Retinal Image
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://kw.uni-paderborn.de/fileadmin/fakultaet/Institute/psychologie/Kognitive_Psychologie/Publikationen/AnsorgeScharlauLabudda.pdf
oa: '1'
page: 103 - 116
publication: Psychological Research
publication_identifier:
  issn:
  - 0340-0727
publication_status: published
status: public
title: Visual search for a motion singleton among coherently moving distractors.
type: journal_article
user_id: '42165'
volume: 70
year: '2006'
...