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Contribution of Eye-Tracking to Study Cognitive Impairments Among Clinical Populations

In the field of psychology, the merge of decision-theory and neuroscientific methods produces an array of scientifically recognized paradigms. For example, by exploring consumer’s eye-movement behavior, researchers aim to deepen the understanding of how patterns of retinal activation are being meani...

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Autores principales: Wolf, Alexandra, Ueda, Kazuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8215550/
https://www.ncbi.nlm.nih.gov/pubmed/34163391
http://dx.doi.org/10.3389/fpsyg.2021.590986
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author Wolf, Alexandra
Ueda, Kazuo
author_facet Wolf, Alexandra
Ueda, Kazuo
author_sort Wolf, Alexandra
collection PubMed
description In the field of psychology, the merge of decision-theory and neuroscientific methods produces an array of scientifically recognized paradigms. For example, by exploring consumer’s eye-movement behavior, researchers aim to deepen the understanding of how patterns of retinal activation are being meaningfully transformed into visual experiences and connected with specific reactions (e.g., purchase). Notably, eye-movements provide knowledge of one’s homeostatic balance and gatekeep information that shape decisions. Hence, vision science investigates the quality of observed environments determined under various experimental conditions. Moreover, it answers questions on how human process visual stimuli and use gained information for a successful strategy to achieve certain goals. While capturing cognitive states with the support of the eye-trackers progresses at a relatively fast pace in decision-making research, measuring the visual performance of real-life tasks, which require complex cognitive skills, is tentatively translated into clinical experiments. Nevertheless, the potential of the human eye as a highly valuable source of biomarkers has been underlined. In this article, we aim to draw readers attention to decision-making experimental paradigms supported with eye-tracking technology among clinical populations. Such interdisciplinary approach may become an important component that will (i) help in objectively illustrating patient’s models of beliefs and values, (ii) support clinical interventions, and (iii) contribute to health services. It is possible that shortly, eye-movement data from decision-making experiments will grant the scientific community a greater understanding of mechanisms underlining mental states and consumption practices that medical professionals consider as obsessions, disorders or addiction.
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spelling pubmed-82155502021-06-22 Contribution of Eye-Tracking to Study Cognitive Impairments Among Clinical Populations Wolf, Alexandra Ueda, Kazuo Front Psychol Psychology In the field of psychology, the merge of decision-theory and neuroscientific methods produces an array of scientifically recognized paradigms. For example, by exploring consumer’s eye-movement behavior, researchers aim to deepen the understanding of how patterns of retinal activation are being meaningfully transformed into visual experiences and connected with specific reactions (e.g., purchase). Notably, eye-movements provide knowledge of one’s homeostatic balance and gatekeep information that shape decisions. Hence, vision science investigates the quality of observed environments determined under various experimental conditions. Moreover, it answers questions on how human process visual stimuli and use gained information for a successful strategy to achieve certain goals. While capturing cognitive states with the support of the eye-trackers progresses at a relatively fast pace in decision-making research, measuring the visual performance of real-life tasks, which require complex cognitive skills, is tentatively translated into clinical experiments. Nevertheless, the potential of the human eye as a highly valuable source of biomarkers has been underlined. In this article, we aim to draw readers attention to decision-making experimental paradigms supported with eye-tracking technology among clinical populations. Such interdisciplinary approach may become an important component that will (i) help in objectively illustrating patient’s models of beliefs and values, (ii) support clinical interventions, and (iii) contribute to health services. It is possible that shortly, eye-movement data from decision-making experiments will grant the scientific community a greater understanding of mechanisms underlining mental states and consumption practices that medical professionals consider as obsessions, disorders or addiction. Frontiers Media S.A. 2021-06-07 /pmc/articles/PMC8215550/ /pubmed/34163391 http://dx.doi.org/10.3389/fpsyg.2021.590986 Text en Copyright © 2021 Wolf and Ueda. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Wolf, Alexandra
Ueda, Kazuo
Contribution of Eye-Tracking to Study Cognitive Impairments Among Clinical Populations
title Contribution of Eye-Tracking to Study Cognitive Impairments Among Clinical Populations
title_full Contribution of Eye-Tracking to Study Cognitive Impairments Among Clinical Populations
title_fullStr Contribution of Eye-Tracking to Study Cognitive Impairments Among Clinical Populations
title_full_unstemmed Contribution of Eye-Tracking to Study Cognitive Impairments Among Clinical Populations
title_short Contribution of Eye-Tracking to Study Cognitive Impairments Among Clinical Populations
title_sort contribution of eye-tracking to study cognitive impairments among clinical populations
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8215550/
https://www.ncbi.nlm.nih.gov/pubmed/34163391
http://dx.doi.org/10.3389/fpsyg.2021.590986
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