Are these real people?

No. All faces are generated SVG avatars, so there are no privacy concerns.

A signal-detection statistic: high d' means you reliably told old faces from new ones, beyond chance.

Why recognition, not recall?

Face recognition is the well-studied construct; recall of faces is much harder and less comparable.

얼굴 기억

How well can you recognize faces you've seen once?

~7 min

정보 제공 및 자기 성찰용

이 검사는 의학적·심리학적 진단이 아니며 임상 선별 도구도 아닙니다. 신체적·정신적 건강 상태가 있는지 판정할 수 없습니다. 건강이 걱정된다면 적절한 자격을 갖춘 의료 전문가의 조언을 구하세요.

얼굴 기억

~7 min

이 테스트가 측정하는 것

Face Memory measures recognition memory for faces using a signal-detection score (d'). It's a research-grounded visual memory task.

작동 방식

Study 10 generated avatar faces, each shown briefly. Then for 20 faces, decide whether each is Old (seen before) or New. Faces are SVG avatars — never real photos.

결과 계산 방법

Your primary score is d' (d-prime), a signal-detection measure of how well you separate old from new faces (higher is better), estimated against population norms.

정확도와 한계

Attention and avatar distinctiveness affect results. This is a research-grounded task (Evidence B).

자주 묻는 질문

계속 탐색

시각 기억~7 min 언어 기억~6 min 패턴 기억~5 min

최종 검토: 2026-08-14