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Modelling Visual Change Detection and Identification under Free Viewing Conditions
We examined whether the abilities of observers to perform an analogue of a real-world monitoring task involving detection and identification of changes to items in a visual display could be explained better by models based on signal detection theory (SDT) or high threshold theory (HTT). Our study di...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4755572/ https://www.ncbi.nlm.nih.gov/pubmed/26882348 http://dx.doi.org/10.1371/journal.pone.0149217 |
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author | McAnally, Ken Martin, Russell |
author_facet | McAnally, Ken Martin, Russell |
author_sort | McAnally, Ken |
collection | PubMed |
description | We examined whether the abilities of observers to perform an analogue of a real-world monitoring task involving detection and identification of changes to items in a visual display could be explained better by models based on signal detection theory (SDT) or high threshold theory (HTT). Our study differed from most previous studies in that observers were allowed to inspect the initial display for 3s, simulating the long inspection times typical of natural viewing, and their eye movements were not constrained. For the majority of observers, combined change detection and identification performance was best modelled by a SDT-based process that assumed that memory resources were distributed across all eight items in our displays. Some observers required a parameter to allow for sometimes making random guesses at the identities of changes they had missed. However, the performance of a small proportion of observers was best explained by a HTT-based model that allowed for lapses of attention. |
format | Online Article Text |
id | pubmed-4755572 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-47555722016-02-26 Modelling Visual Change Detection and Identification under Free Viewing Conditions McAnally, Ken Martin, Russell PLoS One Research Article We examined whether the abilities of observers to perform an analogue of a real-world monitoring task involving detection and identification of changes to items in a visual display could be explained better by models based on signal detection theory (SDT) or high threshold theory (HTT). Our study differed from most previous studies in that observers were allowed to inspect the initial display for 3s, simulating the long inspection times typical of natural viewing, and their eye movements were not constrained. For the majority of observers, combined change detection and identification performance was best modelled by a SDT-based process that assumed that memory resources were distributed across all eight items in our displays. Some observers required a parameter to allow for sometimes making random guesses at the identities of changes they had missed. However, the performance of a small proportion of observers was best explained by a HTT-based model that allowed for lapses of attention. Public Library of Science 2016-02-16 /pmc/articles/PMC4755572/ /pubmed/26882348 http://dx.doi.org/10.1371/journal.pone.0149217 Text en © 2016 McAnally, Martin http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article McAnally, Ken Martin, Russell Modelling Visual Change Detection and Identification under Free Viewing Conditions |
title | Modelling Visual Change Detection and Identification under Free Viewing Conditions |
title_full | Modelling Visual Change Detection and Identification under Free Viewing Conditions |
title_fullStr | Modelling Visual Change Detection and Identification under Free Viewing Conditions |
title_full_unstemmed | Modelling Visual Change Detection and Identification under Free Viewing Conditions |
title_short | Modelling Visual Change Detection and Identification under Free Viewing Conditions |
title_sort | modelling visual change detection and identification under free viewing conditions |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4755572/ https://www.ncbi.nlm.nih.gov/pubmed/26882348 http://dx.doi.org/10.1371/journal.pone.0149217 |
work_keys_str_mv | AT mcanallyken modellingvisualchangedetectionandidentificationunderfreeviewingconditions AT martinrussell modellingvisualchangedetectionandidentificationunderfreeviewingconditions |