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Effects of verbal tasks on driving simulator performance.
Jonathan C Rann1,2, Amit Almor3,4,5
1Department of Psychology, University of South Carolina, 1512 Pendelton Street, Columbia, SC, 29208, USA. jrann@email.sc.edu.
Cognitive Research: Principles and Implications
|February 4, 2022
Summary
Multitasking with verbal tasks, like speaking or listening, impairs driving simulator tracking performance, especially at faster speeds. Performance degrades during speech preparation and improves during speech, impacting cognitive load.
Area of Science:
- Cognitive Psychology
- Human-Computer Interaction
- Neuroscience
Background:
- Multitasking performance is often studied using dual-task paradigms.
- Understanding the temporal dynamics of cognitive load during verbal tasks is crucial for real-world applications like driving.
Purpose of the Study:
- To investigate the fine temporal effects of verbal tasks on simultaneous tracking performance using a novel driving simulator paradigm.
- To analyze how language production and comprehension interfere with visuomotor tracking at high temporal resolution.
Main Methods:
- Developed a driving simulator paradigm to assess tracking performance (cursor deviation) while participants engaged in various verbal tasks (no input, listening, responding, reading).
- Conducted two experiments with 74 undergraduate students, varying target speeds (slow/fast) and verbal task modalities (auditory/visual prompts).
- Utilized high-resolution time-course analysis to examine performance changes during speech preparation and production.
Main Results:
- Tracking performance worsened at faster target speeds and was poorest during responding conditions.
- Fine-scale temporal analysis revealed performance deterioration preceding and during speech, followed by improvement.
- Conversation recall was highest in responding conditions, and perceived task difficulty increased with complexity.
Conclusions:
- Language production and comprehension significantly interfere with visuomotor tracking, consistent with load-based multitasking theories.
- The developed paradigm effectively measures dynamic changes in tracking performance due to the fluctuating resource demands of language.
- This research offers insights into the high-resolution temporal interference between verbal processing and visuomotor control.

