Seeing is Deceiving: The Psychology and Neuroscience of Fake Faces

doi:10.31234/osf.io/hz4yf

Paper

Seeing is Deceiving: The Psychology and Neuroscience of Fake Faces

Published May 27, 2020 · S. Manohar

UNKNOWN SJR score

2

Citations

1

Influential Citations

Full text Semantic Scholar

Abstract

Face perception is an essential skill for human interaction and social learning, impacting how we build relationships and perceive the world around us. In the modern era, face processing remains important but confronts new challenges due to recent technological advances such as deepfake technology and AI-generated faces. These computer-generated (CG) faces may be difficult for our brains to distinguish from real faces, raising questions in the fields of criminal justice, politics, and animation, to name a few. This review explores the neurobiology of face processing and its interplay with affect, laying the foundation for an investigation into recent studies examining how humans differentiate between real and CG faces. Studies on the uncanny valley effect and pareidolia offer further insights as to how humans make this judgment and the possible boundaries of face perception. Additional research is needed to better understand this emerging area and possibly train human viewers to perform these judgments more accurately in the future.

Study Snapshot

Key takeawayHuman brains struggle to distinguish between real and computer-generated faces, posing challenges in fields like criminal justice, politics, and animation.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

Sign up to use Study Snapshot

Consensus is limited without an account. Create an account or sign in to get more searches and use the Study Snapshot.

Create an account

Paper

Seeing is Deceiving: The Psychology and Neuroscience of Fake Faces

Sign up to use Study Snapshot

References

Citations

The spread of synthetic media on X

Artificial intelligence-generated media on social media platform X increased from 2022 to 2023, with most content being non-political and non-malicious, but deepfakes targeting political figures persist.

What is Unique in the Brains of Frontline Employees? A Structural Neuroimaging Study

Front-of-house employees have greater grey matter volume in the occipital and fusiform face areas, which are crucial for facial expression recognition, supporting the social brain hypothesis.

Visual disinformation in a digital age: A literature synthesis and research agenda

Visual disinformation differs from textual disinformation in production, processing, and effects, with unique effects on citizens' behaviors and attitudes due to its modal richness and manipulative sophistication.