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The impact of misleading information on the identifiability of feature-based facial composites

  • Melanie Pitchford
  • , Danielle Green
  • , Charlie D. Frowd
    • University of Winchester
    • University of Central Lancashire

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Citations (Scopus)

    Abstract

    The misinformation effect demonstrates that when eyewitnesses are exposed to details of a crime that are incorrect, they are less accurate in their later recall of those details. Research has also shown that misinformation has a measurable effect on recall and construction of a target face using a mechanical but now-outdated feature-based composite system. In a laboratory-based psychology experiment, we demonstrate that misinformation has a detrimental effect on the construction of a facial composite produced by a modern, computerized feature-based system. Participants were shown a target face and constructed a composite of it the following day using PRO-fit software. Composites were less identifiable when, prior to face construction, participants were exposed to misinformation-in this case, by reading a description of an inaccurate identity: a face that was different to theirs (relative to participants who read a description of the same identity, or did not read a description at all). This is important for criminal justice systems and security services as facial composites constructed under such circumstances would appear to be less identifiable, thus limiting the effectiveness of this type of forensic evidence.
    Original languageEnglish
    Title of host publicationnan
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages185-190
    ISBN (Print)9781538640173
    DOIs
    Publication statusPublished - 2 Nov 2017
    EventInternational Conference on Emerging Security Technologies (EST) - Canterbury
    Duration: 6 Sept 20178 Sept 2017

    Conference

    ConferenceInternational Conference on Emerging Security Technologies (EST)
    CityCanterbury
    Period6/09/178/09/17
    OtherInternational Conference on Emerging Security Technologies (EST) (06/09/2017-08/09/2017, Canterbury)

    UN SDGs

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

    1. SDG 16 - Peace, Justice and Strong Institutions
      SDG 16 Peace, Justice and Strong Institutions

    Keywords

    • facial composites
    • misinformation

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