Abstract

Performance in everyday tasks, such as driving and sport, requires allocation of attention to task-relevant information and the ability to inhibit task-irrelevant information. Yet there are individual differences in this attentional function ability. This research investigates a novel task for measuring attention for action, called the Multiple Object Avoidance task (MOA), in its relation to the everyday tasks of driving and sport. The aim in Study 1 was to explore the efficacy of the MOA task to predict simulated driving behaviour and hazard perception. Whilst also investigating its test–retest reliability and how it correlates to self-report driving measures. We found that superior performance in the MOA task predicted simulated driving performance in complex environments and was superior at predicting performance compared to the Useful Field of View task. We found a moderate test–retest reliability and a correlation between the attentional lapses subscale of the Driving Behaviour Questionnaire. Study 2 investigated the discriminative power of the MOA in sport by exploring performance differences in those that do and do not play sports. We also investigated if the MOA shared attentional elements with other measures of visual attention commonly attributed to sporting expertise: Multiple Object Tracking (MOT) and cognitive processing speed. We found that those that played sports exhibited superior MOA performance and found a positive relationship between MOA performance and Multiple Object Tracking performance and cognitive processing speed. Collectively, this research highlights the utility of the MOA when investigating visual attention in everyday contexts.

Highlights

  • The relationship between driving experience and overall driving performance was not a linear relationship but rather a logarithmic relationship and driving experience will be modelled as log transformed

  • We have suggested, in Study 1, that the two measures of visual attention function discussed above that are important in sport, might be attentional components involved in Multiple Object Avoidance (MOA) performance, and we have offered these as explanations that might explain the efficacy of MOA in predicting driving behaviour and hazard perception performance

  • MOA performance correlated with driving performance where better performance in MOA predicted better driving scores (Study 1)

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Summary

Methods

A lower estimate of power at 0.80, alpha error probability of 0.05 would suggest 21 participants be recruited in each group for this effect size. This group of participants was split into two groups. The sports group comprised of 21 participants (12 males) with a mean age of 24 (SD = 4.41) The non-sport group had 26 participants (five males) with a mean age of 31.9 (SD = 12.8) All participants declared they do not take part in competitive sport.

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