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Sophie J Nightingale

Showing results (1-10 of 10) with videos related to

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Proceedings of the National Academy of Sciences of the United States of America|February 15, 2022
AI-synthesized faces are indistinguishable from real faces and more trustworthySophie J Nightingale, Hany Farid
Proceedings of the National Academy of Sciences of the United States of America|February 26, 2020
Assessing the reliability of a clothing-based forensic identificationSophie J Nightingale, Hany Farid
Journal of Vision|March 3, 2021
Perceptual and computational detection of face morphingSophie J Nightingale, Shruti Agarwal, Hany Farid
Cognitive Research: Principles and Implications|August 5, 2017
Can people identify original and manipulated photos of real-world scenes?Sophie J Nightingale, Kimberley A Wade, Derrick G Watson
Psychology and Aging|April 25, 2022
Investigating age-related differences in ability to distinguish between original and manipulated imagesSophie J Nightingale, Kimberley A Wade, Derrick G Watson
The American Psychologist|January 18, 2024
Visual digital data, ethical challenges, and psychological scienceMark Levine, Richard Philpot, Sophie J Nightingale, et al.
Scientific Reports|June 22, 2026
Human detection of AI-generated faces and voices is not domain-generalMatthew Ivory, Carolyn McGettigan, Helen E Nuttall, et al.
Npj Mental Health Research|July 8, 2025
Psychosocial dynamics of suicidality and nonsuicidal self-injury: a digital linguistic perspectiveCharlotte Entwistle, Katie Hoemann, Sophie J Nightingale, et al.
Attention, Perception & Psychophysics|June 30, 2019
Can people detect errors in shadows and reflections?Sophie J Nightingale, Kimberley A Wade, Hany Farid, et al.
Cognitive Research: Principles and Implications|July 27, 2018
Detecting morphed passport photos: a training and individual differences approachDavid J Robertson, Andrew Mungall, Derrick G Watson, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Proceedings of the National Academy of Sciences of the United States of America|February 15, 2022
AI-synthesized faces are indistinguishable from real faces and more trustworthySophie J Nightingale, Hany Farid
Proceedings of the National Academy of Sciences of the United States of America|February 26, 2020
Assessing the reliability of a clothing-based forensic identificationSophie J Nightingale, Hany Farid
Journal of Vision|March 3, 2021
Perceptual and computational detection of face morphingSophie J Nightingale, Shruti Agarwal, Hany Farid
Cognitive Research: Principles and Implications|August 5, 2017
Can people identify original and manipulated photos of real-world scenes?Sophie J Nightingale, Kimberley A Wade, Derrick G Watson
Psychology and Aging|April 25, 2022
Investigating age-related differences in ability to distinguish between original and manipulated imagesSophie J Nightingale, Kimberley A Wade, Derrick G Watson
The American Psychologist|January 18, 2024
Visual digital data, ethical challenges, and psychological scienceMark Levine, Richard Philpot, Sophie J Nightingale, et al.
Scientific Reports|June 22, 2026
Human detection of AI-generated faces and voices is not domain-generalMatthew Ivory, Carolyn McGettigan, Helen E Nuttall, et al.
Npj Mental Health Research|July 8, 2025
Psychosocial dynamics of suicidality and nonsuicidal self-injury: a digital linguistic perspectiveCharlotte Entwistle, Katie Hoemann, Sophie J Nightingale, et al.
Attention, Perception & Psychophysics|June 30, 2019
Can people detect errors in shadows and reflections?Sophie J Nightingale, Kimberley A Wade, Hany Farid, et al.
Cognitive Research: Principles and Implications|July 27, 2018
Detecting morphed passport photos: a training and individual differences approachDavid J Robertson, Andrew Mungall, Derrick G Watson, et al.
Pageof 1