Proceedings of the 8th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design: Dri 2015
DOI: 10.17077/drivingassessment.1602
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A Secondary Assessment of the Impact of Voice Interface Turn Delays on Driver Attention and Arousal in Field Conditions

Abstract: Summary:Voice interface use has become increasingly popular in vehicles. It is important that these systems divert drivers' attention from the primary driving task as little as possible, and numerous efforts have been devoted to categorizing demands associated with these systems. Nonetheless, there is still much to be learned about how various implementation characteristics impact attention. This study presents a secondary analysis of the delay time between when users finish giving commands and when the system… Show more

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Cited by 5 publications
(4 citation statements)
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“…While the smartphone largely outperformed the Volvo Sensus voice system in task time and total off-road visual engagement for the destination address entry task, it showed more modest improvements in comparison to the Chevrolet MyLink system where predominant difference related to an improvement in task time. The degree to which these differences relate to differences in task structure, display characteristics or other variables such as system response time (McWilliams et al 2015), voice recognition system performance, ambient noise, etc. are all potential contributors that need to be actively optimised at the system design level.…”
Section: Discussionmentioning
confidence: 99%
“…While the smartphone largely outperformed the Volvo Sensus voice system in task time and total off-road visual engagement for the destination address entry task, it showed more modest improvements in comparison to the Chevrolet MyLink system where predominant difference related to an improvement in task time. The degree to which these differences relate to differences in task structure, display characteristics or other variables such as system response time (McWilliams et al 2015), voice recognition system performance, ambient noise, etc. are all potential contributors that need to be actively optimised at the system design level.…”
Section: Discussionmentioning
confidence: 99%
“…The first study in the MKS [1] also considered a voice-based song selection task. The primary comparison in the present report is to the second study in the MKS [4] since the NHTSA age distribution was used in both, whereas the first MKS study considered a younger (20)(21)(22)(23)(24)(25)(26)(27)(28)(29) and relatively older (60-69) sample. The present study in the Impala again considered voice-based full address entry into the navigation system and the nback auditoryvocal reference task.…”
Section: Discussionmentioning
confidence: 99%
“…The time delay was significantly longer in the Impala than what was experienced in the Equinox, XC60, and MKS. An assessment was carried out looking at delay times across the four vehicles and a smartphone voice interface; this assessment has been developed as a separate paper [20]. Mean delay times assessed in the Impala averaged around 8 seconds and, in some instances, exceeded 15 seconds.…”
Section: Additional Observationsmentioning
confidence: 99%
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