Effects of verbal tasks on driving simulator performance

Abstract We report results from a driving simulator paradigm we developed to test the fine temporal effects of verbal tasks on simultaneous tracking performance. A total of 74 undergraduate students participated in two experiments in which they controlled a cursor using the steering wheel to track a...

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Main Authors: Jonathan C. Rann, Amit Almor
Format: Article
Language:English
Published: SpringerOpen 2022-02-01
Series:Cognitive Research
Subjects:
Online Access:https://doi.org/10.1186/s41235-022-00357-x
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author Jonathan C. Rann
Amit Almor
author_facet Jonathan C. Rann
Amit Almor
author_sort Jonathan C. Rann
collection DOAJ
description Abstract We report results from a driving simulator paradigm we developed to test the fine temporal effects of verbal tasks on simultaneous tracking performance. A total of 74 undergraduate students participated in two experiments in which they controlled a cursor using the steering wheel to track a moving target and where the dependent measure was overall deviation from target. Experiment 1 tested tracking performance during slow and fast target speeds under conditions involving either no verbal input or output, passive listening to spoken prompts via headphones, or responding to spoken prompts. Experiment 2 was similar except that participants read written prompts overlain on the simulator screen instead of listening to spoken prompts. Performance in both experiments was worse during fast speeds and worst overall during responding conditions. Most significantly, fine scale time-course analysis revealed deteriorating tracking performance as participants prepared and began speaking and steadily improving performance while speaking. Additionally, post-block survey data revealed that conversation recall was best in responding conditions, and perceived difficulty increased with task complexity. Our study is the first to track temporal changes in interference at high resolution during the first hundreds of milliseconds of verbal production and comprehension. Our results are consistent with load-based theories of multitasking performance and show that language production, and, to a lesser extent, language comprehension tap resources also used for tracking. More generally, our paradigm provides a useful tool for measuring dynamical changes in tracking performance during verbal tasks due to the rapidly changing resource requirements of language production and comprehension.
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spelling doaj.art-705513e040aa4867b06a9237fb39f3ea2022-12-22T01:34:45ZengSpringerOpenCognitive Research2365-74642022-02-017112610.1186/s41235-022-00357-xEffects of verbal tasks on driving simulator performanceJonathan C. Rann0Amit Almor1Department of Psychology, University of South CarolinaDepartment of Psychology, University of South CarolinaAbstract We report results from a driving simulator paradigm we developed to test the fine temporal effects of verbal tasks on simultaneous tracking performance. A total of 74 undergraduate students participated in two experiments in which they controlled a cursor using the steering wheel to track a moving target and where the dependent measure was overall deviation from target. Experiment 1 tested tracking performance during slow and fast target speeds under conditions involving either no verbal input or output, passive listening to spoken prompts via headphones, or responding to spoken prompts. Experiment 2 was similar except that participants read written prompts overlain on the simulator screen instead of listening to spoken prompts. Performance in both experiments was worse during fast speeds and worst overall during responding conditions. Most significantly, fine scale time-course analysis revealed deteriorating tracking performance as participants prepared and began speaking and steadily improving performance while speaking. Additionally, post-block survey data revealed that conversation recall was best in responding conditions, and perceived difficulty increased with task complexity. Our study is the first to track temporal changes in interference at high resolution during the first hundreds of milliseconds of verbal production and comprehension. Our results are consistent with load-based theories of multitasking performance and show that language production, and, to a lesser extent, language comprehension tap resources also used for tracking. More generally, our paradigm provides a useful tool for measuring dynamical changes in tracking performance during verbal tasks due to the rapidly changing resource requirements of language production and comprehension.https://doi.org/10.1186/s41235-022-00357-xCognitive loadLanguage processingMultitaskingSimulated driving
spellingShingle Jonathan C. Rann
Amit Almor
Effects of verbal tasks on driving simulator performance
Cognitive Research
Cognitive load
Language processing
Multitasking
Simulated driving
title Effects of verbal tasks on driving simulator performance
title_full Effects of verbal tasks on driving simulator performance
title_fullStr Effects of verbal tasks on driving simulator performance
title_full_unstemmed Effects of verbal tasks on driving simulator performance
title_short Effects of verbal tasks on driving simulator performance
title_sort effects of verbal tasks on driving simulator performance
topic Cognitive load
Language processing
Multitasking
Simulated driving
url https://doi.org/10.1186/s41235-022-00357-x
work_keys_str_mv AT jonathancrann effectsofverbaltasksondrivingsimulatorperformance
AT amitalmor effectsofverbaltasksondrivingsimulatorperformance