The Multiple Object Avoidance (MOA) task measures attention for action: Evidence from driving and sport

Area of Science:

• Cognitive Psychology
• Human Factors Engineering
• Neuroscience

Background:

• Everyday tasks like driving and sports demand selective attention and inhibition of irrelevant stimuli.
• Individual differences in attentional abilities significantly impact performance in these tasks.
• Existing measures may not fully capture the complex attentional demands of real-world activities.

Purpose of the Study:

• Introduce and validate the Multiple Object Avoidance (MOA) task for measuring attention for action.
• Assess the MOA task's predictive validity for simulated driving and its reliability.
• Examine the MOA task's ability to differentiate athletes and its relationship with other visual attention measures.

Main Methods:

• Study 1: Evaluated MOA task efficacy in predicting simulated driving performance, hazard perception, test-retest reliability, and correlation with self-report driving measures.
• Study 2: Compared MOA performance between athletes and non-athletes, and investigated its relationship with Multiple Object Tracking (MOT) and cognitive processing speed.

Main Results:

• Superior MOA performance predicted better simulated driving in complex scenarios, outperforming the Useful Field of View task.
• The MOA task demonstrated moderate test-retest reliability and correlated with driving attentional lapses.
• Athletes showed significantly better MOA performance, which positively correlated with MOT and processing speed.

Conclusions:

• The Multiple Object Avoidance (MOA) task is a reliable and valid measure of attention for action.
• MOA performance is a significant predictor of driving ability and a key differentiator in sports expertise.
• This novel task offers valuable insights into visual attention crucial for everyday functional performance.