Identity Documents Bias Face Matching. (December 2019)
- Record Type:
- Journal Article
- Title:
- Identity Documents Bias Face Matching. (December 2019)
- Main Title:
- Identity Documents Bias Face Matching
- Authors:
- Feng, Xinran
Burton, A. Mike - Abstract:
- Unfamiliar face matching is a difficult task. In typical experiments, viewers see isolated face pairs and have to decide whether they show the same or different people. Recent research shows that embedding faces into passports introduces a response bias, such that viewers are more likely to accept two pictures as showing the same person. Here, we investigate the cause of this bias. In a series of experiments, we vary the apparent authority of the identity documents, testing passports, driving licences, and student ID. By comparison to isolated face matching, the results show a bias towards responding same person for each document type. However, when ID information (name, date of birth, etc.) was removed from documents, the induced bias disappeared. We conclude that bias does not rely on perceived authority, but instead seems to occur only in the presence of identifying information, despite that being task irrelevant.
- Is Part Of:
- Perception. Volume 48:Number 12(2019)
- Journal:
- Perception
- Issue:
- Volume 48:Number 12(2019)
- Issue Display:
- Volume 48, Issue 12 (2019)
- Year:
- 2019
- Volume:
- 48
- Issue:
- 12
- Issue Sort Value:
- 2019-0048-0012-0000
- Page Start:
- 1163
- Page End:
- 1174
- Publication Date:
- 2019-12
- Subjects:
- face perception -- cognition -- visual matching -- perceptual interference
Perception -- Periodicals
Perception -- Periodicals
Perception
Periodicals
153.705 - Journal URLs:
- http://pec.sagepub.com/ ↗
http://www.pion.co.uk/ ↗ - DOI:
- 10.1177/0301006619877821 ↗
- Languages:
- English
- ISSNs:
- 0301-0066
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 11966.xml