Abstract

Perceptual information about unfolding events is important for guiding decisions about when and how to move in real-world action situations. As an exemplary case, road-crossing is a perceptual-motor task where age has been shown to be a strong predictor of risk due to errors in action-based decisions. The present study investigated age differences between three age groups (Children: 10–12 years old; Adults: 19–39 years old; Older Adults: 65 + year olds) in the use of perceptual information for selection, timing, and control of action when crossing a two-way street in an immersive, interactive virtual reality environment. Adults and children selected gaps to cross that were consistent with the use of a time-based information variable (tau), whereas older adults tuned less into the time-based variable (tau) to guide road-crossing decisions. For action initiation and control, children and adults also showed a strong ability to precisely time their entry with respect to the lead vehicle maximising the available time to cross and coordinating walking movements with the tail vehicle to ensure they were not on a collision course. In contrast, older adults delayed action initiation and showed difficulty coordinating self-movement with the approaching vehicle. This study and its results tie together age-based differences in the three components of action decision-making (selection, timing and control) within a unified framework based on perceptual information. The implications of these age-related differences in action decisions and crossing behaviours are discussed in the context of road safety.

Highlights

  • We live in a dynamic world filled with moving objects

  • Action selection was investigated via gap acceptance, % of collisions, and how consistent gap selection was with the informational variable tau that specifies the rate of closure of the gap

  • Tau theory was found to provide an elegant, parsimonious model to explain how action selection and action timing and control can be regarded as the one and the same dynamic process supported by adherence to a single source of information (Cisek, 2007; Stoffregen, 2000)

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Summary

Introduction

We live in a dynamic world filled with moving objects. Machines, playthings and other people are continually approaching and moving away from us. In these situations, we have multiple options and solutions available to us. Consider the task of navigating through a crowded airport or city. We must identify a gap between pedestrians and cross through or reject it and wait for another gap to appear. When a gap is selected we can choose to walk, skip, Cromore Road, Coleraine BT52, 1SA, Co. Londonderry, UK or run through it. Action-decisions are composed of three related processes: selection, timing and control

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