We use human behavioral experiments and eye tracking technology to understand mechanisms and limits of visual attention in basic and applied environments. We are broadly interested in the mechanisms of visual attention and its link with various applied behavior such as driving and interacting with automation. We study basic processes of the visual attention system involving localized attentional interference, attentional visual field, and visual search using analytic techniques derived from Mathematical Psychology. We are also interested in applied aspects of attention and visual perception/cognition such as young and older drivers’ visual attention to latent hazard on a driving simulator and influence of attention on trust toward imperfect automated systems.

  • Visual Selective Attention
    • Localized Attentional Interference (LAI)
    • Attentional Visual Field (AVF)
    • Visual Search (Search Asymmetry)
  • Human-Automation Interaction and Trust
    • Multi-Task Attribute Battery (MATB)
    • Effects of workload on trust toward imperfect signaling systems
  • Surface Transportation Safety (involving driving simulation and eye tracking)
    • Young novice drivers’ selective attention and attention maintenance on the forward roadway
    • Older drivers’ selective attention and intersection maneuver
    • Development and evaluation of training programs for at-risk driver populations