An AI Method to Score Celebrity Visual Potential
Xiaohang Feng et al.
Abstract
It has long been a mantra of marketing practice that, particularly in low-involvement situations, spokespeople should be physically attractive. This article suggests there is a higher probability of gaining fame and influence (i.e., celebrity potential) than is captured by attractiveness or typicality. The authors identify 11 facial features that may predict celebrity potential by virtue of their purported relationship with charisma and resulting personality trait inferences. Using machine learning methods and a sample of 22,000 faces, the authors calculate the direction and strength of the correlation of each feature with celebrity potential. The model is 95.92% accurate in predicting whether a given face belongs to a celebrity or noncelebrity, and it enables a celebrity visual potential (CVP) metric to be calculated for any face. Two controlled experiments and two studies using photographs of faces of Instagram and LinkedIn users further validate that the model-generated CVP is consistent with human-rated CVP, showing predictive power above and beyond facial typicality and averageness. This research challenges prior assumptions about the importance of attractiveness in spokesperson choice, offers a useful additional metric for marketers, and provides novel insights about the relative importance of various inferred personality traits for celebrity potential.
5 citations
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.41 × 0.4 = 0.16 |
| M · momentum | 0.63 × 0.15 = 0.09 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.