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100			_a Baker, K. A. _949809
245			_aTwo Sides of Face Learning: _b Improving Between-Identity Discrimination While Tolerating More Within-Person Variability in Appearance/
260			_bsage _c2019
300			_aVol: 48, issue: 11, 2019: (1124-1145 p.).
520			_aTwo photos of an unfamiliar face are often perceived as belonging to different people—an error that disappears when a face is familiar. Face learning has been characterized as increased tolerance of within-person variability in appearance and is facilitated by exposure to such variability (e.g., differences in expression, lighting, and aesthetics). We hypothesized that increased tolerance of variability in appearance might lead to reduced discrimination and that misidentifications would be reduced if a face was learned in the context of a similar-looking identity. After validating our stimuli (Experiments 1a and 1b), we conducted three experiments investigating face learning. In two of these, participants learned three faces (Experiment 2: 15 images/identity and Experiment 3: 5 images/identity), two of which were similar. In a recognition task, misidentifications did not change as a function of similarity, although participants recognized more images of the target in Experiment 2 (i.e., after learning 15 images). In Experiment 4, participants learned one identity and the number of images studied varied across groups. Recognition of new images increased with the number of images studied, with no changes in false alarms; sensitivity (A′) marginally increased. The results suggest that recognition and discrimination reflect separable processes with minimal influence of between-person similarity on discrimination.
650			_aface recognition, _948962
650			_a face learning, _949810
650			_aface perception, _949121
650			_awithin-person variability _949811
700			_a Mondloch, C. J. _949812
773	0		_012374 _916462 _dSage, _tPerception _x1468-4233
856			_uhttps://doi.org/10.1177/0301006619867862
942			_2ddc _cART
999			_c12517 _d12517