Serial dependence in a simulated clinical visual search task

Mauro Manassi; Arni Kristjánsson; David Whitney

doi:10.1038/s41598-019-56315-z

Serial dependence in a simulated clinical visual search task

Mauro Manassi^* (Corresponding Author), Arni Kristjánsson, David Whitney

^*Corresponding author for this work

Psychology

Research output: Contribution to journal › Article › peer-review

27 Citations (Scopus)

6 Downloads (Pure)

Abstract

In everyday life, we continuously search for and classify objects in the environment around us. This kind of visual search is extremely important when performed by radiologists in cancer image interpretation and officers in airport security screening. During these tasks, observers often examine large numbers of uncorrelated images (tumor x-rays, checkpoint x-rays, etc.) one after another. An underlying assumption of such tasks is that search and recognition are independent of our past experience. Here, we simulated a visual search task reminiscent of medical image search and found that shape classification performance was strongly impaired by recent visual experience, biasing classification errors 7% more towards the previous image content. This perceptual attraction exhibited the three main tuning characteristics of Continuity Fields: serial dependence extended over 12 seconds back in time (temporal tuning), it occurred only between similar tumor-like shapes (feature tuning), and only within a limited spatial region (spatial tuning). Taken together, these results demonstrate that serial dependence influences shape perception and occurs in visual search tasks. They also raise the possibility of a detrimental impact of serial dependence in clinical and practically relevant settings, such as medical image perception.

Original language	English
Article number	19937
Number of pages	10
Journal	Scientific Reports
Volume	9
DOIs	https://doi.org/10.1038/s41598-019-56315-z https://doi.org/10.1038/s41598-020-60115-1
Publication status	Published - 27 Dec 2019

Bibliographical note

Acknowledgements:
We would like to thank Allison Yamanashi, Yuki Murai, and Zhimin Chen for helpful comments on data analysis and preliminary drafts of the manuscript. This work was supported in part by the Swiss National Science Foundation fellowship P2ELP3_158876 (M.M.).

Author Correction: Serial dependence in a simulated clinical visual search task (Scientific Reports, (2019), 9, 1, (19937), 10.1038/s41598-019-56315-z)

Keywords

object vision
pattern vision

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

Manassi_et_al_SR_SerialDependenceInA_VoR
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Final published version, 2.11 MBLicence: CC BY

Mauro Manassi
- Psychology, Psychology - Lecturer
Person: Academic

Cite this

@article{a4aafebf00d64ee1bd32a8dcef26be66,

title = "Serial dependence in a simulated clinical visual search task",

abstract = "In everyday life, we continuously search for and classify objects in the environment around us. This kind of visual search is extremely important when performed by radiologists in cancer image interpretation and officers in airport security screening. During these tasks, observers often examine large numbers of uncorrelated images (tumor x-rays, checkpoint x-rays, etc.) one after another. An underlying assumption of such tasks is that search and recognition are independent of our past experience. Here, we simulated a visual search task reminiscent of medical image search and found that shape classification performance was strongly impaired by recent visual experience, biasing classification errors 7% more towards the previous image content. This perceptual attraction exhibited the three main tuning characteristics of Continuity Fields: serial dependence extended over 12 seconds back in time (temporal tuning), it occurred only between similar tumor-like shapes (feature tuning), and only within a limited spatial region (spatial tuning). Taken together, these results demonstrate that serial dependence influences shape perception and occurs in visual search tasks. They also raise the possibility of a detrimental impact of serial dependence in clinical and practically relevant settings, such as medical image perception.",

keywords = "object vision, pattern vision",

author = "Mauro Manassi and Arni Kristj{\'a}nsson and David Whitney",

note = "Acknowledgements: We would like to thank Allison Yamanashi, Yuki Murai, and Zhimin Chen for helpful comments on data analysis and preliminary drafts of the manuscript. This work was supported in part by the Swiss National Science Foundation fellowship P2ELP3_158876 (M.M.). Author Correction: Serial dependence in a simulated clinical visual search task (Scientific Reports, (2019), 9, 1, (19937), 10.1038/s41598-019-56315-z) ",

year = "2019",

month = dec,

day = "27",

doi = "10.1038/s41598-019-56315-z",

language = "English",

volume = "9",

journal = "Scientific Reports",

issn = "2045-2322",

publisher = "Nature Publishing Group",

}

TY - JOUR

T1 - Serial dependence in a simulated clinical visual search task

AU - Manassi, Mauro

AU - Kristjánsson, Arni

AU - Whitney, David

N1 - Acknowledgements: We would like to thank Allison Yamanashi, Yuki Murai, and Zhimin Chen for helpful comments on data analysis and preliminary drafts of the manuscript. This work was supported in part by the Swiss National Science Foundation fellowship P2ELP3_158876 (M.M.). Author Correction: Serial dependence in a simulated clinical visual search task (Scientific Reports, (2019), 9, 1, (19937), 10.1038/s41598-019-56315-z)

PY - 2019/12/27

Y1 - 2019/12/27

N2 - In everyday life, we continuously search for and classify objects in the environment around us. This kind of visual search is extremely important when performed by radiologists in cancer image interpretation and officers in airport security screening. During these tasks, observers often examine large numbers of uncorrelated images (tumor x-rays, checkpoint x-rays, etc.) one after another. An underlying assumption of such tasks is that search and recognition are independent of our past experience. Here, we simulated a visual search task reminiscent of medical image search and found that shape classification performance was strongly impaired by recent visual experience, biasing classification errors 7% more towards the previous image content. This perceptual attraction exhibited the three main tuning characteristics of Continuity Fields: serial dependence extended over 12 seconds back in time (temporal tuning), it occurred only between similar tumor-like shapes (feature tuning), and only within a limited spatial region (spatial tuning). Taken together, these results demonstrate that serial dependence influences shape perception and occurs in visual search tasks. They also raise the possibility of a detrimental impact of serial dependence in clinical and practically relevant settings, such as medical image perception.

AB - In everyday life, we continuously search for and classify objects in the environment around us. This kind of visual search is extremely important when performed by radiologists in cancer image interpretation and officers in airport security screening. During these tasks, observers often examine large numbers of uncorrelated images (tumor x-rays, checkpoint x-rays, etc.) one after another. An underlying assumption of such tasks is that search and recognition are independent of our past experience. Here, we simulated a visual search task reminiscent of medical image search and found that shape classification performance was strongly impaired by recent visual experience, biasing classification errors 7% more towards the previous image content. This perceptual attraction exhibited the three main tuning characteristics of Continuity Fields: serial dependence extended over 12 seconds back in time (temporal tuning), it occurred only between similar tumor-like shapes (feature tuning), and only within a limited spatial region (spatial tuning). Taken together, these results demonstrate that serial dependence influences shape perception and occurs in visual search tasks. They also raise the possibility of a detrimental impact of serial dependence in clinical and practically relevant settings, such as medical image perception.

KW - object vision

KW - pattern vision

U2 - 10.1038/s41598-019-56315-z

DO - 10.1038/s41598-019-56315-z

M3 - Article

SN - 2045-2322

VL - 9

JO - Scientific Reports

JF - Scientific Reports

M1 - 19937

ER -

Serial dependence in a simulated clinical visual search task

Abstract

Bibliographical note

Keywords

UN SDGs

Access to Document

Fingerprint

Profiles

Mauro Manassi

Cite this