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Attentional networks functioning, age, and attentional lapses while driving.

María Fernanda López-Ramón1, Cándida Castro, Javier Roca

  • 1Departamento de Psicología Experimental y Fisiología del Comportamiento, Universidad de Granada, España. mflopez@ugr.es

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Drivers prone to attention errors show slower performance but better conflict resolution, while older drivers exhibit slower processing and reduced alertness, impacting safe driving strategies.

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Human Factors in Transportation

Background:

  • Posner's model outlines key attentional functions.
  • Driving safety is influenced by attentional network performance.
  • Age and individual differences impact cognitive control.

Purpose of the Study:

  • To investigate the relationship between age, driving error proneness, and attentional network functioning.
  • To explore how attentional networks differ in drivers with varying error propensities.
  • To understand age-related changes in attention and their driving implications.

Main Methods:

  • Utilized the Attention Network Test for Interactions (ANTI) for behavioral measures.
  • Employed the Attention-Related Driving Error Scale (ARDES) for self-reported errors.
  • Sample comprised 55 drivers from Mar del Plata, Argentina.

Main Results:

  • High error-prone drivers showed slower performance but better conflict resolution with valid cues.
  • Older drivers exhibited performance slowdown and reduced cognitive control.
  • Both groups demonstrated less endogenous preparation for high-priority warning signs.

Conclusions:

  • Age and error proneness present distinct attentional profiles affecting distraction.
  • Error-prone drivers may compensate for deficits through specific network interactions.
  • Older drivers may have reduced alertness and impaired conflict resolution in traffic.