Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Can people identify original and manipulated photos of real-world scenes?

Tools
- Tools
+ Tools

Nightingale, Sophie J., Wade, Kimberley A. and Watson, Derrick G. (2017) Can people identify original and manipulated photos of real-world scenes? Cognitive Research : Principles and Implications, 2 . 30. doi:10.1186/s41235-017-0067-2 ISSN 2365-7464.

[img]
Preview
PDF
WRAP-can-people-identify-original-manipulated-photos-Watson-2017.pdf - Published Version - Requires a PDF viewer.
Available under License Creative Commons Attribution 4.0.

Download (2508Kb) | Preview
[img] PDF
WRAP-can-people-original-real-world-scenes-Watson-2017.pdf - Accepted Version
Embargoed item. Restricted access to Repository staff only - Requires a PDF viewer.

Download (995Kb)
[img] PDF
WRAP-can-people-original-supplemental-2017.pdf - Supplemental Material
Embargoed item. Restricted access to Repository staff only - Requires a PDF viewer.

Download (604Kb)
[img] PDF
WRAP-can-people-original-supplemental-files.pdf - Supplemental Material
Embargoed item. Restricted access to Repository staff only - Requires a PDF viewer.

Download (5Mb)
Official URL: http://doi.org/10.1186/s41235-017-0067-2

Request Changes to record.

Abstract

Advances in digital technology mean that the creation of visually compelling photographic fakes is growing at an incredible speed. The prevalence of manipulated photos in our everyday lives invites an important, yet largely unanswered, question: Can people detect photo forgeries? Previous research using simple computer-generated stimuli suggests people are poor at detecting geometrical inconsistencies within a scene. We do not know, however, whether such limitations also apply to real-world scenes that contain common properties that the human visual system is attuned to processing. In two experiments we asked people to detect and locate manipulations within images of real-world scenes. Subjects demonstrated a limited ability to detect original and manipulated images. Furthermore, across both experiments, even when subjects correctly detected manipulated images, they were often unable to locate the manipulation. People’s ability to detect manipulated images was positively correlated with the extent of disruption to the underlying structure of the pixels in the photo. We also explored whether manipulation type and individual differences were associated with people’s ability to identify manipulations. Taken together, our findings show, for the first time, that people have poor ability to identify whether a real-world image is original or has been manipulated. The results have implications for professionals working with digital images in legal, media, and other domains.

Item Type: Journal Article
Subjects: T Technology > TR Photography
Divisions: Faculty of Science, Engineering and Medicine > Science > Psychology
Library of Congress Subject Headings (LCSH): Image processing -- Digital techniques., Photography -- Retouching, Visual perception., Computer crimes -- Investigation., Forensic psychology., Photography -- Digital techniques
Journal or Publication Title: Cognitive Research : Principles and Implications
Publisher: Springer
ISSN: 2365-7464
Official Date: 18 July 2017
Dates:
DateEvent
18 July 2017Published
12 June 2017Accepted
Volume: 2
Article Number: 30
DOI: 10.1186/s41235-017-0067-2
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access (Creative Commons)
Date of first compliant deposit: 13 June 2017
Date of first compliant Open Access: 22 January 2018
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
UNSPECIFIEDEconomic and Social Research Councilhttp://dx.doi.org/10.13039/501100000269
Related URLs:
  • Publisher

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics

twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us