Study how people choose where and when to look and how visual information guides walking and arm movements. Projects use mobile eye tracking, motion capture, virtual reality and potentially natural environments. This position pays CAD 60,000 annually plus benefits for one year, with possible second and third years depending on performance and funding. Start any time after September 1, 2026; recruitment remains open until filled. A related PhD, programming and statistical skills, and lead-author research publications are required; computational modelling and computer vision experience are usefu
In Cognition and Cognitive Psychology
From controlled environments to complex realities: Exploring the interplay between perceived minds and attention
Alan Kingstone · University of British Columbia
Thu, Oct 12, 2023 · 12:00 UTC
In our daily lives, we perceive things as possessing a mind (e.g., people) or lacking one (e.g., shoes). Intriguingly, how much mind we attribute to people can vary, with real people perceived to have more mind than depictions of individuals, such as photographs. Drawing from a range of research methodologies, including naturalistic observation, mobile eye tracking, and surreptitious behavior monitoring, I discuss how various shades of mind influence human attention and behaviour. The findings suggest the novel concept that overt attention (where one looks) in real-life is fundamentally suppor
Children's relational noun generalization strategies
Eleanor Stansbury · Université de Bourgogne
Thu, Oct 14, 2021 · 16:00 UTC
A common result is that comparison settings (i.e., several stimuli introduced simultaneously) favor conceptualization and generalization. However still little is known of the solving strategies used by children to compare and generalize novel words. Understanding the temporal dynamics of children’s solving strategies may help assess which processes underlie generalization. We tested children in noun and relational noun generalization tasks and collected eye tracking data. To analyze and interpret the data we followed predictions made by existing models of analogical reasoning and generalizatio