Unfamiliar, one-to-one face matching has been shown to be error-prone. However, it is unknown whether there is a strong relationship between confidence and accuracy in this task. If there is, then confidence could be used as an indicator of accuracy in real-world face matching settings such as border security, where the objectively correct decision is typically unknown. Two experiments examined the overall confidence-accuracy relationship, as well as the relationship for positive (match) and negative (mismatch) decisions. Furthermore, they tested whether these relationships were affected by factors relevant to applied face matching settings: the proportion of mismatching trials (PMT), and the task orientation of the decision-maker (look for...
Matching two different images of a face is a very easy task for familiar viewers, but much harder fo...
Identity comparisons of photographs of unfamiliar faces are prone to error but important for applied...
Distinctiveness of a face predicts both miss errors (MEs) and false positives (FPs) but correlations...
Unfamiliar, one-to-one face matching has been shown to be error-prone. However, it is unknown whethe...
This item is only available electronically.Unfamiliar face matching is the process of determining wh...
The ability to match faces correctly is crucial for efficient face recognition. Face-matchingalso pl...
Simultaneous face matching to verify identity is key to security and policing. However, matching is ...
Face matching entails a comparison between two faces that are unfamiliar to an observer, who must th...
Identity comparisons of photographs of unfamiliar faces are prone to error but imperative for securi...
Deciding whether two different face photographs or voice samples are from the same person represent ...
Eyewitness identification decisions are vulnerable to various influences on witnesses ’ decision cri...
Many security settings rely on the identity matching of unfamiliar people, which has led this task t...
Accurate matching of unfamiliar faces is vital in security and forensic applications, yet previous r...
Matching two different images of a face is a very easy task for familiar viewers, but much harder f...
Matching two different images of a face is a very easy task for familiar viewers, but much harder fo...
Matching two different images of a face is a very easy task for familiar viewers, but much harder fo...
Identity comparisons of photographs of unfamiliar faces are prone to error but important for applied...
Distinctiveness of a face predicts both miss errors (MEs) and false positives (FPs) but correlations...
Unfamiliar, one-to-one face matching has been shown to be error-prone. However, it is unknown whethe...
This item is only available electronically.Unfamiliar face matching is the process of determining wh...
The ability to match faces correctly is crucial for efficient face recognition. Face-matchingalso pl...
Simultaneous face matching to verify identity is key to security and policing. However, matching is ...
Face matching entails a comparison between two faces that are unfamiliar to an observer, who must th...
Identity comparisons of photographs of unfamiliar faces are prone to error but imperative for securi...
Deciding whether two different face photographs or voice samples are from the same person represent ...
Eyewitness identification decisions are vulnerable to various influences on witnesses ’ decision cri...
Many security settings rely on the identity matching of unfamiliar people, which has led this task t...
Accurate matching of unfamiliar faces is vital in security and forensic applications, yet previous r...
Matching two different images of a face is a very easy task for familiar viewers, but much harder f...
Matching two different images of a face is a very easy task for familiar viewers, but much harder fo...
Matching two different images of a face is a very easy task for familiar viewers, but much harder fo...
Identity comparisons of photographs of unfamiliar faces are prone to error but important for applied...
Distinctiveness of a face predicts both miss errors (MEs) and false positives (FPs) but correlations...