000			01769nab a2200265 4500
003			OSt
005			20220803154327.0
007			cr aa aaaaa
008			220803b |||||||| |||| 00| 0 eng d
100			_a Omer, Yael _950864
245			_aWhat Is a Face? Critical Features for Face Detection/
260			_bsage _c2019
300			_aVol 48, Issue 5, 2019 : (437-446p.).
520			_aFaces convey very rich information that is critical for intact social interaction. To extract this information efficiently, faces should be easily detected from a complex visual scene. Here, we asked which features are critical for face detection. To answer this question, we presented non-face objects that generate a strong percept of a face (i.e., Pareidolia). One group of participants rated the faceness of this set of inanimate images. A second group rated the presence of a set of 12 local and global facial features. Regression analysis revealed that only the eyes or mouth significantly contributed to faceness scores. We further showed that removing eyes or mouth, but not teeth or ears, significantly reduced faceness scores. These findings show that face detection depends on specific facial features, the eyes and the mouth. This minimal information leads to over-generalization that generates false face percepts but assures that real faces are not missed.
650			_aface perception, _949121
650			_aperception, _949560
650			_aobject recognition, _950865
650			_aobjects and features, _950866
650			_aface detection _950867
700			_aSapir, Roni _950868
700			_aHatuka, Yarin _950869
773	0		_012374 _916462 _dSage, _tPerception _x1468-4233
856			_uhttps://doi.org/10.1177/0301006619838734
942			_2ddc _cART
999			_c12692 _d12692