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Probing the Feature Map for Faces in Visual Search
| Content Provider | SAGE Publishing |
|---|---|
| Author | Yang, Hua Meng, Ming |
| Copyright Year | 2011 |
| Abstract | Controversy surrounds the mechanisms underlying the pop-out effect for faces in visual search. Is there a feature map for faces? If so, does it rely on the categorical distinction between faces and nonfaces, or on image-level face semblance? To probe the feature map, we compared search efficiency for faces, and nonface stimuli with high, low, and no face semblance. First, subjects performed a visual search task with objects as distractors. Only faces popped-out. Moreover, search efficiency for nonfaces correlated with image-level face semblance of the target. In a second experiment, faces were used as distractors but nonfaces did not pop-out. Interestingly, search efficiency for nonfaces was not modulated by face semblance, although searching for a face among faces was particularly difficult, reflecting a categorical boundary between nonfaces and faces. Finally, inversion and contrast negation significantly interacted with the effect of face semblance, ruling out the possibility that search efficiency solely depends on low-level features. Our study supports a parallel search for faces that is perhaps preattentive. Like other features (color, orientation etc.), there appears to be a continuous face feature map for visual search. Our results also suggest that this map may include both image-level face semblance and face categoricity. |
| Related Links | https://journals.sagepub.com/doi/pdf/10.1068/ic360?download=true |
| Starting Page | 360 |
| ISSN | 20416695 |
| Issue Number | 4 |
| Volume Number | 2 |
| Journal | i-Perception (IPE) |
| e-ISSN | 20416695 |
| DOI | 10.1068/ic360 |
| Language | English |
| Publisher | Sage Publications UK |
| Publisher Date | 2011-05-01 |
| Publisher Place | London |
| Access Restriction | Open |
| Rights Holder | © 2011 SAGE Publications |
| Content Type | Text |
| Resource Type | Article |
| Subject | Ophthalmology Experimental and Cognitive Psychology Artificial Intelligence Sensory Systems |
