Poster Session E, Monday, March 25, 2:30 – 4:30 pm, Pacific Concourse
The Face Image Meta-Database and ChatLab Disfigured Face Database: Tools to Facilitate Neuroscience Research on Face Perception and Social Stigma
Clifford Workman1, Anja Jamrozik1, Miriam Rosen1, Anjan Chatterjee1; 1The University of Pennsylvania, Philadelphia, PA, USA
Many stimulus sets comprised of static faces are publically available. Researchers nevertheless struggle to find stimuli best suited to their studies (e.g., https://goo.gl/bUv46y). A comprehensive index of face-sets, their features, and how to access them has not been available. Furthermore, in view of mounting evidence that facially disfigured people are socially stigmatized, the absence of a disfigured face stimulus set that can be used to probe the stigmatizing behaviors they experience is a critical gap. We built the Face Image Meta-Database (fIMDb) to aid researchers in finding appropriate face stimuli: https://cliffordworkman.com/resources. It includes data (or estimates) for around 90 sources of stimuli on: numbers of photo sets, numbers of individuals photographed (and their characteristics), total numbers of images, and more. We have also constructed the ChatLab Disfigured Face Database (CDFD) from images identified through print and online sources that depict individuals with facial disfigurements. We estimate that the fIMDb includes links to over 2.5 million images of over 32,000 individuals spanning 242 stimulus sets. The CDFD contains 492 images of 49 unique individuals with facial disfigurements before and, when available, after corrective treatment. The fIMDb received around 500 unique visitors in the week following its release, suggesting it addresses a previously unmet need. Furthermore, the CDFD is the only set of disfigured face stimuli, of which we are aware, available to researchers. We anticipate that the availability of these tools will facilitate research on face perception and provide researchers impetus to examine the social consequences of facial disfigurement and stigmatization.
Topic Area: METHODS: Other