Encoding the internal features of unfamiliar faces poses a perceptual challenge that occasionally results in face recognition errors. Extensive experience with faces framed by a headscarf may, however, enhance perceivers' ability to process internal facial information. To examine this claim empirically, participants in the United Arab Emirates and the United States of America completed a standard part-whole face recognition task. Accuracy on the task was examined using a 2 (perceiver culture: Emirati vs American) × 2 (face race: Arab vs white) × 2 (probe type: part vs whole) × 3 (probe feature: eyes vs nose vs mouth) mixed-measures analysis of variance. As predicted, Emiratis outperformed Americans on the administered task. Although their recognition advantage occurred regardless of probe type, it was most pronounced for Arab faces and for trials that captured the processing of nose or mouth information. The findings demonstrate that culture-based experiences hone perceivers' face processing skills.

Robots seemingly in possession of an experiential mind, as well as humans allegedly incapable thereof, have been reported to elicit feelings of eeriness in their perceivers. The current work re-examined this claim, asking participants to rate both robots and humans in various social situations regarding their mind capacities (e.g., emotional capability, intelligence), non-mind qualities (e.g., animacy, usefulness), and overall appeal (e.g., eeriness, likeability). It was found that feelings of eeriness towards both targets formed a distinct emotional response that was separable from simple dislike. Yet, unexpectedly, eeriness towards both targets intensified, the less they were seen as possessing a typical human mind. For robots, however, this association was less consistent. Moreover, eeriness towards robots, but not towards humans, was most strongly predicted by a lack of perceived usefulness. These results indicate that mind attributions affect people’s attitudes towards each other more strongly than their attitudes towards humanoid robots.

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