Eye Movements and Cognitive Neuroscience

A special issue of Brain Sciences (ISSN 2076-3425). This special issue belongs to the section "Behavioral Neuroscience".

Deadline for manuscript submissions: closed (25 March 2024) | Viewed by 1533

Special Issue Editor


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Guest Editor
Department of Physiology and Biophysics, Howard University, Washington, DC 20059, USA
Interests: eye movements; movement detection; self-movement; parietal cortex; VOR; opto-kinetic; evolution
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Special Issue Information

Dear Colleagues,

Eye movements are one of the most important events in a person’s daily life, especially during wakefulness and even while sleeping. They are therefore considered in many instances to mirror a number of brain functions and behaviors. While there are many types of eye movements from simple reflex operations to voluntarily tracking and fixating on objects of interest, they are also used to study cognitive processes such as attention, emotion, decision making, etc. Eye movements change over time in a person’s life cycle, and thus can also give important insights into development in childhood to normal aging. In addition, given the distributed nature of centers and networks involved in eye movement generation, they can be used to diagnose and pinpoint many brain lesions and deficits. In fact, they have been used in many contexts as first markers for human diseases, such as Parkinson’s. Brain Sciences invites contributions to this Special Issue on “Eye Movements and Cognitive Neuroscience” to give an overview of the latest advances in eye movement research and cognition.

Prof. Dr. Werner M. Graf
Guest Editor

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Keywords

  • eye movements
  • scanning
  • fixation
  • VOR
  • smooth pursuit
  • memory
  • emotion
  • attention
  • decision making
  • aversion
  • cognitive function
  • development
  • aging
  • neuroscience

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Published Papers (1 paper)

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Research

31 pages, 2592 KiB  
Article
Exploring Comprehension Strategies of Modular Process Models: A Combined Eye-Tracking and Concurrent Think-Aloud Study
by Julia Baß, Michael Winter, Rüdiger Pryss and Manfred Reichert
Brain Sci. 2024, 14(4), 303; https://doi.org/10.3390/brainsci14040303 - 23 Mar 2024
Cited by 1 | Viewed by 1146
Abstract
The study of complex process models often encounters challenges in terms of comprehensibility. This paper explores using modularization as a strategy to mitigate such challenges, notably the reduction in complexity. Previous research has delved into the comprehensibility of modularized process models, yet an [...] Read more.
The study of complex process models often encounters challenges in terms of comprehensibility. This paper explores using modularization as a strategy to mitigate such challenges, notably the reduction in complexity. Previous research has delved into the comprehensibility of modularized process models, yet an unresolved question about the cognitive factors at play during their comprehension still needs to be answered. Addressing the latter, the paper presents findings from an innovative study combining eye-tracking and concurrent think-aloud techniques involving 25 participants. The study aimed to comprehend how individuals comprehend process models when presented in three different modular formats: flattened process models, models with grouped elements, and models with subprocesses. The results shed light on varying comprehension strategies employed by participants when navigating through these modularized process models. The paper concludes by suggesting avenues for future research guided by these insights. Full article
(This article belongs to the Special Issue Eye Movements and Cognitive Neuroscience)
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