Super Recognizer Test

People curious about unusually strong face identification can use this facial recognition test to examine how they compare faces and remember people across changing circumstances. The super recognizer test is intended for self-reflection by anyone interested in everyday recognition, not just people who already feel highly confident. Its profile separates perceptual matching, facial memory, and their combined pattern.

What This Assessment Measures

The super recognizer assessment separates face matching from learning and later recognizing a face. Its situations include changed pose, lighting, image quality, expression, distance, appearance, background, and context, helping readers consider which conditions make recognition easier or harder.

The profile organizes results into three displayed scales:

• Face Matching Accuracy (0-100) measures same-person versus different-person decisions across altered images; bands are Lower accuracy (0-49), Moderate accuracy (50-74), and High accuracy (75-100).
• Face Memory Accuracy (0-100) measures learning and later recognizing faces across image changes; bands are Low (0-33), Moderate (34-66), and High (67-100).
• Overall Face Recognition (0-100) combines matching and memory performance; bands are Developing (0-49), Strong (50-74), and Very Strong (75-100).

Together, the scores show whether the reported profile leans toward comparison, retention, or both, while keeping the result tied to the situations represented by the questionnaire.

Methodology and Scientific Basis

Across the questionnaire, the sampled statements use Strongly disagree, Disagree, Not sure, or Agree to ask about face matching or face memory. The questionnaire functions as a face recognition test by asking about recognition under changes in pose, lighting, image quality, expression, distance, hairstyle, makeup, facial hair, and context. Responses feed component and combined results; the questionnaire reports 0-100 values without stating an item-by-item point formula.

Bobak et al. (2016) provide the closest conceptual comparison: their work examined face-matching and face-memory performance among strong recognizers. The matching component relates to the Glasgow Face Matching Test by Burton, White, and McNeill (2010), while memory echoes the Cambridge Face Memory Test by Duchaine and Nakayama (2006). Russell, Duchaine, and Nakayama (2009) provide background on the super-recognizer concept. This questionnaire is conceptually consistent with these works, not an adaptation of their instruments.

Interpret scores as tendencies represented by these items. Honest self-report, confidence, current context, and memory for past encounters can influence responses, so the profile summarizes reported judgments about matching and recognizing familiar faces across altered images and over time rather than directly measuring task accuracy.