Decision Strategies and the Confidence-Accuracy Relationship in Face Recognition

2012 ◽  
Vol 26 (2) ◽  
pp. 152-163 ◽  
Author(s):  
Nathan Weber ◽  
Libbey Woodard ◽  
Paul Williamson
2018 ◽  
Vol 71 (6) ◽  
pp. 1348-1356 ◽  
Author(s):  
Cristina Sampaio ◽  
Victoria Reinke ◽  
Jeffrey Mathews ◽  
Alexandra Swart ◽  
Stephen Wallinger

We applied a metacognitive approach to investigate confidence in recognition of prototypical faces. Participants were presented with sets of faces constructed digitally as deviations from prototype/base faces. Participants were then tested with a simple recognition task (Experiment 1) or a multiple-choice task (Experiment 2) for old and new items plus new prototypes, and they showed a high rate of confident false alarms to the prototypes. Confidence and accuracy relationship in this face recognition paradigm was found to be positive for standard items but negative for the prototypes; thus, it was contingent on the nature of the items used. The data have implications for lineups that employ match-to-suspect strategies.


2019 ◽  
Author(s):  
Jesse Howard Grabman ◽  
Chad Dodson

Growing evidence suggests face identifications made with high confidence are typically accurate (Wixted & Wells, 2017). However, few studies capture the complexities of real-world face recognition (e.g., non-experimental setting, varied contexts). Moreover, individual differences in face recognition ability may moderate the confidence-accuracy relationship (Grabman et al., 2019). In this study, we reanalyzed data from 32 participants who watched six seasons of the television show Game of Thrones for entertainment as the series aired (Devue et al., 2019). Participants provided confidence ratings on a 168-item old-new recognition test of actors and completed a standard test of face recognition ability. Highest confidence ratings were remarkably accurate -- even considering retention-intervals of >3 years and large changes in appearance. However, confidence was generally a better indicator of accuracy for stronger, as compared to weaker, face recognizers.


2010 ◽  
Vol 69 (3) ◽  
pp. 161-167 ◽  
Author(s):  
Jisien Yang ◽  
Adrian Schwaninger

Configural processing has been considered the major contributor to the face inversion effect (FIE) in face recognition. However, most researchers have only obtained the FIE with one specific ratio of configural alteration. It remains unclear whether the ratio of configural alteration itself can mediate the occurrence of the FIE. We aimed to clarify this issue by manipulating the configural information parametrically using six different ratios, ranging from 4% to 24%. Participants were asked to judge whether a pair of faces were entirely identical or different. The paired faces that were to be compared were presented either simultaneously (Experiment 1) or sequentially (Experiment 2). Both experiments revealed that the FIE was observed only when the ratio of configural alteration was in the intermediate range. These results indicate that even though the FIE has been frequently adopted as an index to examine the underlying mechanism of face processing, the emergence of the FIE is not robust with any configural alteration but dependent on the ratio of configural alteration.


Author(s):  
Chrisanthi Nega

Abstract. Four experiments were conducted investigating the effect of size congruency on facial recognition memory, measured by remember, know and guess responses. Different study times were employed, that is extremely short (300 and 700 ms), short (1,000 ms), and long times (5,000 ms). With the short study time (1,000 ms) size congruency occurred in knowing. With the long study time the effect of size congruency occurred in remembering. These results support the distinctiveness/fluency account of remembering and knowing as well as the memory systems account, since the size congruency effect that occurred in knowing under conditions that facilitated perceptual fluency also occurred independently in remembering under conditions that facilitated elaborative encoding. They do not support the idea that remember and know responses reflect differences in trace strength.


2011 ◽  
Author(s):  
Matthew P. Gerrie ◽  
Thomas A. Huthwaite ◽  
Stasia Haigh ◽  
Joel Majer

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