Valentina Proietti

Representing young and older adult faces: Shared or age-specific prototypes?

ABSTRACT Young adults recognize young adult faces more accurately than older adult faces and are more sensitive to how individual young faces deviate from a norm/prototype. Here we used an adaptation paradigm to examine whether young and older adult faces are represented by separable norms and the extent to which the coding dimensions for these two categories overlap. In Experiment 1, following adaptation to oppositely distorted young and older faces (e.g., expanded young and compressed older faces), adults’ normality judgments simultaneously shifted in opposite directions for the two face categories, providing evidence for separable norms. In Experiment 2, participants were adapted to distorted faces from a single age category (e.g., compressed young); aftereffects transferred across face age but were larger for the face age that matched adaptation. Collectively, these results provide evidence that young and older faces are processed with regard to separable norms that share some underlying coding dimensions.

Visual scanning behavior is related to recognition performance for own- and other-age faces

It is well-established that our recognition ability is enhanced for faces belonging to familiar categories, such as own-race faces and own-age faces. Recent evidence suggests that, for race, the recognition bias is also accompanied by different visual scanning strategies for own- compared to other-race faces. Here, we tested the hypothesis that these differences in visual scanning patterns extend also to the comparison between own and other-age faces and contribute to the own-age recognition advantage. Participants (young adults with limited experience with infants) were tested in an old/new recognition memory task where they encoded and subsequently recognized a series of adult and infant faces while their eye movements were recorded. Consistent with findings on the other-race bias, we found evidence of an own-age bias in recognition which was accompanied by differential scanning patterns, and consequently differential encoding strategies, for own-compared to other-age faces. Gaze patterns for own-age faces involved a more dynamic sampling of the internal features and longer viewing time on the eye region compared to the other regions of the face. This latter strategy was extensively employed during learning (vs. recognition) and was positively correlated to discriminability. These results suggest that deeply encoding the eye region is functional for recognition and that the own-age bias is evident not only in differential recognition performance, but also in the employment of different sampling strategies found to be effective for accurate recognition.