Abstract
People reliably and automatically make personality inferences from facial appearance despite little evidence for their accuracy. Although such inferences are highly inter-correlated, research has traditionally focused on studying specific traits such as trustworthiness. We advocate an alternative, data-driven approach to identify and model the structure of face evaluation. Initial findings indicate that specific trait inferences can be represented within a 2D space defined by valence/trustworthiness and power/dominance evaluation of faces. Inferences along these dimensions are based on similarity to expressions signaling approach or avoidance behavior and features signaling physical strength, respectively, indicating that trait inferences from faces originate in functionally adaptive mechanisms. We conclude with a discussion of the potential role of the amygdala in face evaluation.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 455-460 |
| Number of pages | 6 |
| Journal | Trends in Cognitive Sciences |
| Volume | 12 |
| Issue number | 12 |
| DOIs | |
| State | Published - Dec 2008 |
All Science Journal Classification (ASJC) codes
- Experimental and Cognitive Psychology
- Neuropsychology and Physiological Psychology
- Cognitive Neuroscience
Fingerprint
Dive into the research topics of 'Understanding evaluation of faces on social dimensions'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver