Publication | Closed Access
Effect of Wireless Communication and Entertainment Devices on Simulated Driving Performance
78
Citations
7
References
2008
Year
Wireless CommunicationsEngineeringMobile InteractionEducationAdvanced Driver-assistance SystemWireless Telephone CommunicationCommunicationProblematic Smartphone UseDriver BehaviorSystems EngineeringSimulated Driving PerformanceBehavioral SciencesCognitive ScienceAssistive TechnologyEntertainment DevicesApple IpodConnected CarComputer EngineeringMobile ComputingAutonomous DrivingDriver PerformanceSpeech CommunicationLateral SpeedVoiceHuman-computer InteractionTechnology
An analysis of the effect of wireless telephone communication using text and voice modalities as well as an Apple iPod on lane keeping, speed, speed variability, lateral speed, and lane position variability was conducted with a driving simulator. Participants (young adult licensed drivers) drove in an unusually curvy simulated driving environment while using wireless devices, controlling an iPod, and participating in conversations and word games. As expected on the basis of previous research, lane-keeping performance was robust for voice communication tasks; however, the text messaging and iPod tasks that required significant manual manipulation of the device resulted in significant decrements in lane-keeping performance. In addition, all wireless communication tasks and the iPod task resulted in significant increases in speed variability throughout the driving scenario. Lateral speed increases occurred for all wireless communication tasks other than the cellular phone conversation as well as the iPod task. Increases in lane position variability were observed for the text messaging conditions. In addition to establishing the dramatic performance decrement caused by text messaging tasks, this experiment suggests that driving performance may be affected by distraction in ways not captured by lane-keeping measures alone and explores potential alternative measures of driving performance that may be useful for identifying and quantifying the effects of distracted driving.
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