LAUSR

Our visual system is built to extract regularities in how objects in our visual environment appear in relation to each other across time and space (“visual statistical learning”). Existing research indicates that visual statistical learning is modulated by selective attention. Our attentional system prioritises information that enables adaptive behaviour; for example, animates are prioritised over inanimates (the “animacy advantage”). The present study examined the effects of selective attention and animacy on visual statistical learning in young adults (N = 284). We tested visual statistical learning of attended and unattended information across four animacy conditions: (1) living things that can self-initiate movement (animals); (2) living things that cannot self-initiate movement (fruits and vegetables); (3) non-living things that can generate movement (vehicles); and (4) non-living things that cannot generate movement (tools and kitchen utensils). We implemented a 4-point confidence rating scale as an assessment of participants’ awareness of the regularities in the visual statistical learning task. There were four key findings. First, selective attention plays a critical role by modulating visual statistical learning. Second, animacy does not play a special role in visual statistical learning. Third, visual statistical learning of attended information cannot be exclusively accounted for by unconscious knowledge. Fourth, performance on the visual statistical learning task is associated with the proportion of stimuli that were named or labelled. Our findings support the notion that visual statistical learning is a powerful mechanism by which our visual system resolves an abundance of sensory input over time.