---
_id: '28979'
abstract:
- lang: eng
  text: "This protocol describes how to conduct temporal-order experiments to measure
    visual processing speed and the attentional resource distribution. The proposed
    method is based on a new and synergistic combination of three components: the
    temporal-order judgments (TOJ) paradigm, Bundesen's Theory of Visual Attention
    (TVA), and a hierarchical Bayesian estimation framework. The method provides readily
    interpretable parameters, which are supported by the theoretical and neurophysiological
    underpinnings of TVA. Using TOJs, TVA-based estimates can be obtained for a broad
    range of stimuli, whereas traditional paradigms used with TVA are mainly limited
    to letters and digits. Finally, the meaningful parameters of the proposed model
    allow for the establishment of a hierarchical Bayesian model. Such a statistical
    model allows assessing results in one coherent analysis both on the subject and
    the group level.\r\nTo demonstrate the feasibility and versatility of this new
    approach, three experiments are reported with attention manipulations in synthetic
    pop-out displays, natural images, and a cued letter-report paradigm."
author:
- first_name: Jan
  full_name: Tünnermann, Jan
  last_name: Tünnermann
- first_name: Alexander
  full_name: Krüger, Alexander
  last_name: Krüger
- first_name: Ingrid
  full_name: Scharlau, Ingrid
  id: '451'
  last_name: Scharlau
  orcid: 0000-0003-2364-9489
citation:
  ama: Tünnermann J, Krüger A, Scharlau I. Measuring Attention and Visual Processing
    Speed by Model-based Analysis of Temporal-order Judgments. <i>Journal of Visualized
    Experiments</i>. Published online 2017. doi:<a href="https://doi.org/10.3791/54856">10.3791/54856</a>
  apa: Tünnermann, J., Krüger, A., &#38; Scharlau, I. (2017). Measuring Attention
    and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments.
    <i>Journal of Visualized Experiments</i>. <a href="https://doi.org/10.3791/54856">https://doi.org/10.3791/54856</a>
  bibtex: '@article{Tünnermann_Krüger_Scharlau_2017, title={Measuring Attention and
    Visual Processing Speed by Model-based Analysis of Temporal-order Judgments},
    DOI={<a href="https://doi.org/10.3791/54856">10.3791/54856</a>}, journal={Journal
    of Visualized Experiments}, author={Tünnermann, Jan and Krüger, Alexander and
    Scharlau, Ingrid}, year={2017} }'
  chicago: Tünnermann, Jan, Alexander Krüger, and Ingrid Scharlau. “Measuring Attention
    and Visual Processing Speed by Model-Based Analysis of Temporal-Order Judgments.”
    <i>Journal of Visualized Experiments</i>, 2017. <a href="https://doi.org/10.3791/54856">https://doi.org/10.3791/54856</a>.
  ieee: 'J. Tünnermann, A. Krüger, and I. Scharlau, “Measuring Attention and Visual
    Processing Speed by Model-based Analysis of Temporal-order Judgments,” <i>Journal
    of Visualized Experiments</i>, 2017, doi: <a href="https://doi.org/10.3791/54856">10.3791/54856</a>.'
  mla: Tünnermann, Jan, et al. “Measuring Attention and Visual Processing Speed by
    Model-Based Analysis of Temporal-Order Judgments.” <i>Journal of Visualized Experiments</i>,
    2017, doi:<a href="https://doi.org/10.3791/54856">10.3791/54856</a>.
  short: J. Tünnermann, A. Krüger, I. Scharlau, Journal of Visualized Experiments
    (2017).
date_created: 2021-12-15T13:48:33Z
date_updated: 2022-06-06T16:18:39Z
department:
- _id: '424'
doi: 10.3791/54856
language:
- iso: eng
publication: Journal of Visualized Experiments
publication_identifier:
  issn:
  - 1940-087X
publication_status: published
status: public
title: Measuring Attention and Visual Processing Speed by Model-based Analysis of
  Temporal-order Judgments
type: journal_article
user_id: '42165'
year: '2017'
...