All Publications
-
A generated image repository of aging faces.
Scientific data
2025; 12 (1): 1610
Abstract
Faces are a rich source of information for humans and a substantial amount of behavioral science research uses face stimuli to assess person perception. Unfortunately, this body of research is limited by an overreliance on young, predominantly white faces normed on young adult perceivers. To address these limitations, we created an open-access database of AI-generated faces that represents the same individuals at three life stages (young adulthood, middle age, and older adulthood) including equal numbers of males and females. Using advanced generative algorithms, the approach digitally aged 62 young individuals, thus preserving identity-specific features while realistically portraying age-related changes. The resulting database comprises 186 images. Each image has been age-normed and validated for authenticity. Although the database will be useful for many research questions, the stimuli are especially well-suited for research on age comparisons because the same individuals can be presented at different ages.
View details for DOI 10.1038/s41597-025-05909-6
View details for PubMedID 41034260
View details for PubMedCentralID 5473630
-
APPRECIATING TIME ALONE: AGE AND SOCIAL INTERACTION OPPORTUNITIES ENHANCE EMOTIONAL WELL-BEING WHEN ALONE
OXFORD UNIV PRESS. 2024: 834
View details for DOI 10.1093/geroni/igae098.2701
View details for Web of Science ID 001388061200001