Zobrazeno 1 - 10
of 123
pro vyhledávání: '"Peter J. B. Hancock"'
Publikováno v:
Cognitive Research, Vol 9, Iss 1, Pp 1-17 (2024)
Abstract The human face is commonly used for identity verification. While this task was once exclusively performed by humans, technological advancements have seen automated facial recognition systems (AFRS) integrated into many identification scenari
Externí odkaz:
https://doaj.org/article/42c6f98658e04bcf89fb9c1c6846cccb
Autor:
Kay L. Ritchie, Daniel J. Carragher, Josh P. Davis, Katie Read, Ryan E. Jenkins, Eilidh Noyes, Katie L. H. Gray, Peter J. B. Hancock
Publikováno v:
Cognitive Research, Vol 9, Iss 1, Pp 1-13 (2024)
Abstract Mask wearing has been required in various settings since the outbreak of COVID-19, and research has shown that identity judgements are difficult for faces wearing masks. To date, however, the majority of experiments on face identification wi
Externí odkaz:
https://doaj.org/article/87f015c9a455409e8b70e498f1f1bb53
Publikováno v:
Cognitive Research, Vol 7, Iss 1, Pp 1-12 (2022)
Abstract To slow the spread of COVID-19, many people now wear face masks in public. Face masks impair our ability to identify faces, which can cause problems for professional staff who identify offenders or members of the public. Here, we investigate
Externí odkaz:
https://doaj.org/article/8195a50300b4441cb739e918f318eb5b
Publikováno v:
Cognitive Research, Vol 6, Iss 1, Pp 1-9 (2021)
Abstract Finding an unfamiliar person in a crowd of others is an integral task for police officers, CCTV-operators, and security staff who may be looking for a suspect or missing person; however, research suggests that it is difficult and accuracy in
Externí odkaz:
https://doaj.org/article/493ed9cf17f34db0812f028dae4deff9
Publikováno v:
Cognitive Research, Vol 5, Iss 1, Pp 1-15 (2020)
Abstract In response to the COVID-19 pandemic, many governments around the world now recommend, or require, that their citizens cover the lower half of their face in public. Consequently, many people now wear surgical face masks in public. We investi
Externí odkaz:
https://doaj.org/article/6a1a0e18b7304ceaa3e2bd9ba1577559
Autor:
Ailsa E. Millen, Peter J. B. Hancock
Publikováno v:
Cognitive Research, Vol 4, Iss 1, Pp 1-14 (2019)
Abstract Background Criminal associates such as terrorist members are likely to deny knowing members of their network when questioned by police. Eye tracking research suggests that lies about familiar faces can be detected by distinct markers of reco
Externí odkaz:
https://doaj.org/article/f8a75b6779b6406991844cababe63ecb
Publikováno v:
Cognitive Research, Vol 4, Iss 1, Pp 1-10 (2019)
Abstract The role of image colour in face identification has received little attention in research despite the importance of identifying people from photographs in identity documents (IDs). Here, in two experiments, we investigated whether colour con
Externí odkaz:
https://doaj.org/article/325734344d554bb393273212d065478d
Publikováno v:
Royal Society Open Science, Vol 7, Iss 10 (2020)
Convolutional neural networks (CNNs) give the state-of-the-art performance in many pattern recognition problems but can be fooled by carefully crafted patterns of noise. We report that CNN face recognition systems also make surprising ‘errors'. We
Externí odkaz:
https://doaj.org/article/69b11b8ae55e425092c44b6a99934cec
Publikováno v:
Journal of Experimental Psychology: General.
Automated Facial Recognition Systems (AFRS) are used by governments, law enforcement agencies, and private businesses to verify the identity of individuals. Although previous research has compared the performance of AFRS and humans on tasks of one-to
Publikováno v:
Cognitive Research, Vol 6, Iss 1, Pp 1-9 (2021)
Cognitive Research: Principles and Implications
Cognitive Research: Principles and Implications
Finding an unfamiliar person in a crowd of others is an integral task for police officers, CCTV-operators, and security staff who may be looking for a suspect or missing person; however, research suggests that it is difficult and accuracy in such tas