Sarah Laurence
Brock University
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Publication
Featured researches published by Sarah Laurence.
Journal of Experimental Child Psychology | 2016
Sarah Laurence; Catherine J. Mondloch
Most previous research on the development of face recognition has focused on recognition of highly controlled images. One of the biggest challenges of face recognition is to identify an individual across images that capture natural variability in appearance. We created a child-friendly version of Jenkins, White, Van Montford, and Burtons sorting task (Cognition, 2011, Vol. 121, pp. 313-323) to investigate childrens recognition of personally familiar and unfamiliar faces. Children between 4 and 12years of age were presented with a familiar/unfamiliar teachers house and a pile of face photographs (nine pictures each of the teacher and another identity). Each child was asked to put all the pictures of the teacher inside the house while keeping the other identity out. Children over 6years of age showed adult-like familiar face recognition. Unfamiliar face recognition improved across the entire age range, with considerable variability in childrens performance. These findings suggest that childrens ability to tolerate within-person variability improves with age and support a face-space framework in which faces are represented as regions, the size of which increases with age.
Perception | 2011
Sarah Laurence; Graham Hole
Face aftereffects can provide information on how faces are stored by the human visual system (eg Leopold et al, 2001 Nature Neuroscience 4 89 – 94), but few studies have used robustly represented (highly familiar) faces. In this study we investigated the influence of facial familiarity on adaptation effects. Participants were adapted to a series of distorted faces (their own face, a famous face, or an unfamiliar face). In experiment 1, figural aftereffects were significantly smaller when participants were adapted to their own face than when they were adapted to the other faces (ie their own face appeared significantly less distorted than a famous or unfamiliar face). Experiment 2 showed that this ‘own-face’ effect did not occur when the same faces were used as adaptation stimuli for participants who were unfamiliar with them. Experiment 3 replicated experiment 1, but included a pre-adaptation baseline. The results highlight the importance of considering facial familiarity when conducting research on face aftereffects.
Cognition | 2017
Kristen Baker; Sarah Laurence; Catherine J. Mondloch
Adults and children aged 6years and older easily recognize multiple images of a familiar face, but often perceive two images of an unfamiliar face as belonging to different identities. Here we examined the process by which a newly encountered face becomes familiar, defined as accurate recognition of multiple images that capture natural within-person variability in appearance. In Experiment 1 we examined whether exposure to within-person variability in appearance helps children learn a new face. Children aged 6-13years watched a 10-min video of a woman reading a story; she was filmed on a single day (low variability) or over three days, across which her appearance and filming conditions (e.g., camera, lighting) varied (high variability). After familiarization, participants sorted a set of images comprising novel images of the target identity intermixed with distractors. Compared to participants who received no familiarization, children showed evidence of learning only in the high-variability condition, in contrast to adults who showed evidence of learning in both the low- and high-variability conditions. Experiment 2 highlighted the efficiency with which adults learn a new face; their accuracy was comparable across training conditions despite variability in duration (1 vs. 10min) and type (video vs. static images) of training. Collectively, our findings show that exposure to variability leads to the formation of a robust representation of facial identity, consistent with perceptual learning in other domains (e.g., language), and that the development of face learning is protracted throughout childhood. We discuss possible underlying mechanisms.
Visual Cognition | 2012
Sarah Laurence; Graham Hole
A composite face, made from the top half of a celebrity face and the bottom half of an unfamiliar face, appears to be a single, “new” face (e.g., Young, Hellawell, & Hay, 1987). Composite faces were used within the face identity aftereffect (FIAE) paradigm, in which prolonged exposure to a face reduces sensitivity to it (adaptation). Adaptation occurred both with an intact face and with composites containing its upper half, but only when composites were explicitly recognized during the adaptation phase. Unrecognized composites produced no adaptation. These findings imply that the FIAE is a relatively high-level perceptual effect, given that identical stimuli either did or did not produce adaptation depending on whether or not they were recognized. They also suggest a perceptual locus for the “composite face effect”.
Visual Cognition | 2014
Sarah Laurence; Graham Hole; Peter Hills
Face adaptation has been used as a tool to probe our representations for facial identity. It has also been claimed to play a functional role in face processing, perhaps calibrating the visual system towards encountered faces. However, for this to be so, face aftereffects must be observable following adaptation to ecologically valid moving stimuli, not just after prolonged viewing of static images. We adapted our participants to videos, static image sequences or single images of the faces of lecturers who were personally familiar to them. All three stimulus types produced significant, and equivalent, face identity aftereffects, demonstrating that aftereffects are not confined to static images but can occur after exposure to more naturalistic stimuli. It is also further evidence against explanations of face adaptation effects solely in terms of low-level visual processing.
British Journal of Psychology | 2016
Sarah Laurence; Xiaomei Zhou; Catherine J. Mondloch
Journal of Vision | 2014
Xiaomei Zhou; Sarah Laurence; Catherine J. Mondloch
Vision Research | 2018
Valentina Proietti; Sarah Laurence; Claire M. Matthews; Xiaomei Zhou; Catherine J. Mondloch
Canadian Psychology | 2016
Ann H. Farrell; Thalia Semplonius; Marina Shapira; Xiaomei Zhou; Sarah Laurence; Teena Willoughby; Caitlin E. V. Mahy; Catherine J. Mondloch; Angela D. Evans
Journal of Vision | 2016
Kristen Baker; Sarah Laurence; Catherine J. Mondloch