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Attention Distribution While Detecting Conflicts between Converging Objects: An Eye-Tracking Study

In many domains, including air traffic control, observers have to detect conflicts between moving objects. However, it is unclear what the effect of conflict angle is on observers’ conflict detection performance. In addition, it has been speculated that observers use specific viewing techniques whil...

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Autores principales: Eisma, Yke Bauke, Looijestijn, Anouk E., de Winter, Joost C. F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7558710/
https://www.ncbi.nlm.nih.gov/pubmed/32707819
http://dx.doi.org/10.3390/vision4030034
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author Eisma, Yke Bauke
Looijestijn, Anouk E.
de Winter, Joost C. F.
author_facet Eisma, Yke Bauke
Looijestijn, Anouk E.
de Winter, Joost C. F.
author_sort Eisma, Yke Bauke
collection PubMed
description In many domains, including air traffic control, observers have to detect conflicts between moving objects. However, it is unclear what the effect of conflict angle is on observers’ conflict detection performance. In addition, it has been speculated that observers use specific viewing techniques while performing a conflict detection task, but evidence for this is lacking. In this study, participants (N = 35) observed two converging objects while their eyes were recorded. They were tasked to continuously indicate whether a conflict between the two objects was present. Independent variables were conflict angle (30, 100, 150 deg), update rate (discrete, continuous), and conflict occurrence. Results showed that 30 deg conflict angles yielded the best performance, and 100 deg conflict angles the worst. For 30 deg conflict angles, participants applied smooth pursuit while attending to the objects. In comparison, for 100 and especially 150 deg conflict angles, participants showed a high fixation rate and glances towards the conflict point. Finally, the continuous update rate was found to yield shorter fixation durations and better performance than the discrete update rate. In conclusion, shallow conflict angles yield the best performance, an effect that can be explained using basic perceptual heuristics, such as the ‘closer is first’ strategy. Displays should provide continuous rather than discrete update rates.
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spelling pubmed-75587102020-10-26 Attention Distribution While Detecting Conflicts between Converging Objects: An Eye-Tracking Study Eisma, Yke Bauke Looijestijn, Anouk E. de Winter, Joost C. F. Vision (Basel) Article In many domains, including air traffic control, observers have to detect conflicts between moving objects. However, it is unclear what the effect of conflict angle is on observers’ conflict detection performance. In addition, it has been speculated that observers use specific viewing techniques while performing a conflict detection task, but evidence for this is lacking. In this study, participants (N = 35) observed two converging objects while their eyes were recorded. They were tasked to continuously indicate whether a conflict between the two objects was present. Independent variables were conflict angle (30, 100, 150 deg), update rate (discrete, continuous), and conflict occurrence. Results showed that 30 deg conflict angles yielded the best performance, and 100 deg conflict angles the worst. For 30 deg conflict angles, participants applied smooth pursuit while attending to the objects. In comparison, for 100 and especially 150 deg conflict angles, participants showed a high fixation rate and glances towards the conflict point. Finally, the continuous update rate was found to yield shorter fixation durations and better performance than the discrete update rate. In conclusion, shallow conflict angles yield the best performance, an effect that can be explained using basic perceptual heuristics, such as the ‘closer is first’ strategy. Displays should provide continuous rather than discrete update rates. MDPI 2020-07-22 /pmc/articles/PMC7558710/ /pubmed/32707819 http://dx.doi.org/10.3390/vision4030034 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Eisma, Yke Bauke
Looijestijn, Anouk E.
de Winter, Joost C. F.
Attention Distribution While Detecting Conflicts between Converging Objects: An Eye-Tracking Study
title Attention Distribution While Detecting Conflicts between Converging Objects: An Eye-Tracking Study
title_full Attention Distribution While Detecting Conflicts between Converging Objects: An Eye-Tracking Study
title_fullStr Attention Distribution While Detecting Conflicts between Converging Objects: An Eye-Tracking Study
title_full_unstemmed Attention Distribution While Detecting Conflicts between Converging Objects: An Eye-Tracking Study
title_short Attention Distribution While Detecting Conflicts between Converging Objects: An Eye-Tracking Study
title_sort attention distribution while detecting conflicts between converging objects: an eye-tracking study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7558710/
https://www.ncbi.nlm.nih.gov/pubmed/32707819
http://dx.doi.org/10.3390/vision4030034
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