Presentation
A Computational Multiple Resource Theory Approach to Modelling Dual-Task Interference in VR: The Roles of Resource Demand, Resource Conflict, Visual Angle Separation, and Task Priority
SessionPoster Session 1
DescriptionUnderstanding the factors that drive dual-task interference—the performance decline when two tasks are performed concurrently—is critical for designing effective interfaces in multitasking environments such as health care and aviation. To this extent, the present study examines the influence of resource conflict, visual angle separation, and task priority on dual-task interference. Data was collected from thirty-nine participants performing a visual tracking task and a digit task in virtual reality (VR). Using Multiple Resource Theory’s (MRT) computational model, an iterative approach was employed to evaluate the contribution of these factors. With the demand-only model as a baseline (r = .533), incorporating resource conflict improved the model fit (r = .601), supporting MRT’s core premise. Adding a visual penalty to account for visual angle separation yielded a substantial improvement (r = .870), highlighting the importance of spatial considerations in multitasking interfaces. Task-specific analyses revealed that the digit task experienced greater interference (r = .899) than the tracking task (r = .701). This suggests that task priority influences dual-task interference, with lower-priority tasks being more susceptible to performance decrements. Overall, the results highlight the importance of incorporating resource conflict and perceptual factors, such as visual angle separation, into computational models of dual-task interference.
Event Type
Poster
TimeTuesday, October 14th5:30pm - 6:30pm CDT
LocationRiverside East
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