Reducing Driving Risk Factors in Adolescents with Attention Deficit Hyperactivity Disorder (ADHD): Insights from EEG and Eye-Tracking Analysis

Sensors (Basel). 2024 May 23;24(11):3319. doi: 10.3390/s24113319.

Abstract

Adolescents with attention deficit hyperactivity disorder (ADHD) face significant driving challenges due to deficits in attention and executive functioning, elevating their road risks. Previous interventions targeting driving safety among this cohort have typically addressed isolated aspects (e.g., cognitive or behavioral factors) or relied on uniform solutions. However, these approaches often overlook this population's diverse needs. This study introduces the "Drive-Fun" innovative intervention (DFI), aimed at enhancing driving skills among this vulnerable population. The intervention was tested in a pilot study including 30 adolescents aged 15-18, comparing three groups: DFI, an educational intervention, and a control group with no treatment. Assessments included a driving simulator, EEG, and Tobii Pro Glasses 2. Evaluation was conducted pre- and post-intervention and at a 3-month follow-up. Results indicated that the DFI group significantly improved in the simulated driving performance, attentional effort, and focused gaze time. The findings underscore that holistic strategies with personalized, comprehensive approaches for adolescents with ADHD are particularly effective in improving driving performance. These outcomes not only affirm the feasibility of the DFI but also highlight the critical role of sensor technologies in accurately measuring and enhancing simulator driving performance in adolescents with ADHD. Outcomes suggest a promising direction for future research and application.

Keywords: ADHD; driving stimulation; intervention program.

MeSH terms

  • Adolescent
  • Attention / physiology
  • Attention Deficit Disorder with Hyperactivity* / physiopathology
  • Automobile Driving*
  • Electroencephalography* / methods
  • Eye-Tracking Technology*
  • Female
  • Humans
  • Male
  • Pilot Projects
  • Risk Factors

Grants and funding

This research was funded by the Birkner-Benner Fund of the Faculty of Medicine & Health Professions at Tel Aviv University, with a grant of 40,000 ILS under budget number 0601653551.