2019年11月21日
More human than human: a Turing test for photographed faces.
Cognitive research: principles and implications
- ,
- ,
- ,
- 巻
- 4
- 号
- 1
- 開始ページ
- 43
- 終了ページ
- 43
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.1186/s41235-019-0197-9
BACKGROUND: Recent experimental work has shown that hyper-realistic face masks can pass for real faces during live viewing. However, live viewing embeds the perceptual task (mask detection) in a powerful social context that may influence respondents' behaviour. To remove this social context, we assessed viewers' ability to distinguish photos of hyper-realistic masks from photos of real faces in a computerised two-alternative forced choice (2AFC) procedure. RESULTS: In experiment 1 (N = 120), we observed an error rate of 33% when viewing time was restricted to 500 ms. In experiment 2 (N = 120), we observed an error rate of 20% when viewing time was unlimited. In both experiments we saw a significant performance cost for other-race comparisons relative to own-race comparisons. CONCLUSIONS: We conclude that viewers could not reliably distinguish hyper-realistic face masks from real faces in photographic presentations. As well as its theoretical interest, failure to detect synthetic faces has important implications for security and crime prevention, which often rely on facial appearance and personal identity being related.
- リンク情報
- ID情報
-
- DOI : 10.1186/s41235-019-0197-9
- PubMed ID : 31748844
- PubMed Central 記事ID : PMC6868074