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The effects of dual-task interference on visual search and verbal memory
Kenneth M Jackson1, Tyler H Shaw1, William S Helton1
1Department of Psychology, George Mason University, Fairfax, VA, USA.
Ergonomics
|April 1, 2022
Summary
Multitasking with head-up displays (HUDs) significantly impairs performance, as shown in a simulated environment study. Understanding these dual-task deficits is crucial for designing effective operational systems.
Area of Science:
- Human-Computer Interaction
- Cognitive Psychology
- Human Factors Engineering
Background:
- Wearable technologies like head-up displays (HUDs) are increasing, facilitating multitasking in operational environments.
- Multitasking often leads to performance costs, where task interference impairs overall efficiency.
- Quantifying multitasking interference is essential for optimizing system design and user performance.
Purpose of the Study:
- To investigate and characterize multitasking interference in a controlled simulated environment.
- To assess the performance trade-offs associated with performing visual search and memory tasks simultaneously.
- To determine the applicability of simulated environments for studying multitasking deficits relevant to operational contexts.
Main Methods:
- Forty-eight participants engaged in a simulated navigation task combined with a visual search task.
- Three experimental conditions were employed: standalone memory task, standalone search task, and dual-task (both simultaneously).
- Subjective workload and stress metrics were collected to corroborate performance data.
Main Results:
- Significant dual-task interference was observed when participants performed both tasks concurrently compared to single-task conditions.
- Performance decrements in the dual-task condition were consistent across both the visual search and memory components.
- Subjective workload and stress levels were elevated during the dual-task condition, aligning with performance data.
Conclusions:
- Simulated environments can effectively characterize multitasking interference, mirroring deficits seen in real-world operational settings.
- Understanding performance capabilities and trade-offs in multitasking is vital for designing effective HUDs and operational systems.
- The findings provide a basis for developing strategies to mitigate multitasking-related performance costs in demanding environments.
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