September 2024
Volume 24, Issue 10
Open Access
Vision Sciences Society Annual Meeting Abstract  |   September 2024
Object Stability, Attention, and Temporal Order Judgments
Author Affiliations
  • Ece Yucer
    University of Toronto
  • Andrew Clement
    Millsaps College
  • Jay Pratt
    University of Toronto
Journal of Vision September 2024, Vol.24, 954. doi:https://doi.org/10.1167/jov.24.10.954
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      Ece Yucer, Andrew Clement, Jay Pratt; Object Stability, Attention, and Temporal Order Judgments. Journal of Vision 2024;24(10):954. https://doi.org/10.1167/jov.24.10.954.

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

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Abstract

Our visual lives are filled with stable and unstable objects, some relatively human-sized like furniture and boxes, others much larger like trees and buildings. Yet not much is known about how the stability of these objects affects the deployment of our attention across the visual field. To address this, we have investigated how perceived stability interacts with our attentional system with a series of experiments using a cueless temporal order judgment task. Participants were presented with stable and unstable objects, separated by small temporal intervals, and asked to report which object appeared first in the display. Each experiment employed a different pair of stable and unstable stimuli, including objects with stability as a feature at the global scale (e.g., large art pieces; Experiment 1), local scale (e.g., traffic cone; Experiment 2), and never-before-seen objects (e.g., NOUN Database; Experiment 3). The use of never-before-seen objects was aimed to provide a control for novelty, as unstable objects may be more novel due to context (i.e., a physically unstable traffic cone) and attended to more. Additionally, Experiment 4 compared an object, an ottoman, that maintained its stability while being presented upright vs. upside down to control for inversion effects. Participants’ responses were fit to logistic regression models, and their point of subjective simultaneity was calculated using the fitted model. The results show that stability at the local scale captures attention, and this effect is present even in never-before-seen objects (Exp 3). Likewise, the lack of attentional capture in with the ottoman (Exp 4) suggests that these observed effects are due to the objects’ stability rather than their inverted nature. Overall, the results of this study help inform us of the role stability plays in perceiving objects in our visual environments.

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