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Measuring the Switch Cost of Smartphone Use While Walking
Published on: April 30, 2020
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Measuring the Switch Cost of Smartphone Use While Walking
Gabrielle Naïmé Mourra1, David Brieugne2, Emma Rucco1
1HEC Montréal.
Journal of Visualized Experiments : Jove
|May 19, 2020
Summary
This study protocol quantifies task-switching costs when texting while walking. It uses behavioral and EEG measures to understand the cognitive impact of smartphone multitasking during locomotion.
Area of Science:
- Cognitive Psychology
- Neuroscience
- Human-Computer Interaction
Background:
- Smartphone use while walking presents a significant multitasking challenge.
- Understanding task-switching costs is crucial for assessing cognitive load and safety.
- Existing methods may not fully capture the complexities of real-world mobile device interaction.
Purpose of the Study:
- To develop and validate a protocol for measuring task-switching costs associated with smartphone use during walking.
- To investigate the behavioral and neurophysiological underpinnings of task switching under single-task versus dual-task conditions.
- To establish a foundation for future research on the cognitive impact of various smartphone activities while mobile.
Main Methods:
- Participants walked on a treadmill under control (walking only) and multitasking (texting while walking) conditions.
- A direction-determining task using a point-light walker figure assessed performance (accuracy, response time).
- Electroencephalography (EEG) recorded alpha oscillations to measure cognitive engagement during task switching.
Main Results:
- The protocol effectively quantifies task-switching costs, differentiating between single-task and dual-task scenarios.
- EEG data provide insights into the neural mechanisms underlying varying task-switching costs.
- Behavioral and neurophysiological data can be correlated to explain observed effects.
Conclusions:
- This protocol offers a robust method for assessing the cognitive and neural costs of smartphone use while walking.
- It provides a basis for studying diverse smartphone tasks and their impact on cognitive performance.
- The findings contribute to understanding the behavioral and neurophysiological consequences of mobile multitasking.
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