High-Resolution Person Perception: Using Unconstrained Linguistic Responses to Naturalistic Stimuli Adds Depth and Nuance to Models of Person Perception

We used a data-driven approach to explore the latent dimensions underlying 300,000 unconstrained free-text descriptors of 1000 Facebook profile pictures. Results suggested that tapping into the breadth and diversity of linguistic responses to complex, naturalistic social stimuli may facilitate modelling person perception in greater resolution than has previously been possible.