August 2023
Volume 23, Issue 9
Open Access
Vision Sciences Society Annual Meeting Abstract  |   August 2023
Predictions benefit performance in dynamic search across the adult lifespan
Author Affiliations
  • Nir Shalev
    University of Oxford
  • Sage Boettcher
    York University
  • Anna Christina Nobre
    Department of Ophthalmology, University of California, Irvine, 850 Health Sciences Road, Irvine, CA, 92697, USA
Journal of Vision August 2023, Vol.23, 5148. doi:https://doi.org/10.1167/jov.23.9.5148
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      Nir Shalev, Sage Boettcher, Anna Christina Nobre; Predictions benefit performance in dynamic search across the adult lifespan. Journal of Vision 2023;23(9):5148. https://doi.org/10.1167/jov.23.9.5148.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Visual search is a common cognitive task that requires us to select relevant targets while ignoring irrelevant distractors. Changes attributed to developmental trajectories of executive control, distraction sensitivity, and perceptual capacities all contribute to a characteristic decline in search performance with age between younger and older adults. Traditional studies of visual search rely heavily on tasks using static search displays. However, outside the laboratory, visual search typically occurs in dynamic settings with stimuli coming in and out of our visual field. Furthermore, everyday dynamic search settings – such as crossing a busy road – often contain spatiotemporal regularities that afford anticipation of task-relevant events (e.g., predicting when a pedestrian light will change). We investigated whether individuals across the adult lifespan utilise predictive regularities to optimise visual-search performance in extended dynamic contexts. Participants (N=300; between 20 and 80 years old) performed a dynamic visual search task in which eight targets faded in and out among distractors over extended trials. Half of the targets appeared at fixed temporal onsets and spatial quadrants throughout the experiment. We estimated the behavioural benefits conferred by learned spatiotemporal regularities of targets and by the mounting temporal probability of targets appearing over time. Overall search performance decreased with advancing age. However, the behavioural benefits of predictions were preserved. Longer time intervals between sequential targets resulted in faster responses across all participant ages. The benefits related to memory-based predictions and to intervals between targets interacted with age. Benefits for memory-related target predictability became more pronounced for lengthier intervals between targets over with advancing age. While younger participants benefited from memory-related predictions from short inter-target intervals, older participants benefited primarily when the intervals were longer. Despite a generic decline in dynamic visual-search performance with ageing, we identified a striking preserved ability to extract and utilise regularities to guide behaviour.

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