Texting while driving: Is speech-based text entry less risky than handheld text entry?

He, Jibo; Chaparro, Alex; Nguyen, Bobby; Burge, Rondell; Crandall, Joseph M.; Chaparro, Barbara S.; Ni, Rui; Cao, Shi

doi:10.1016/j.aap.2014.07.014

Cited by 116 publications

(83 citation statements)

References 48 publications

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“…The car-following duration within the study area is ranged between 22 and 39 s. Similar length of the CF duration is reported in the literature (e.g. Muhrer and Vollrath, 2011;He et al, 2014).…”

Section: Dataset For Analysismentioning

confidence: 68%

Impact of mobile phone use on car-following behaviour of young drivers

Saifuzzaman¹,

Boyle²,

Zheng³

et al. 2015

Accident Analysis & Prevention

123

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Multitasking, such as the concurrent use of a mobile phone and operating a motor vehicle, is a significant distraction that impairs driving performance and is becoming a leading cause of motor vehicle crashes. This study investigates the impact of mobile phone conversations on car-following behaviour. The CARRS-Q Advanced Driving Simulator was used to test a group of young Australian drivers aged 18-26 years on a car-following task in three randomised phone conditions: baseline (no phone conversation), hands-free and handheld. Repeated measure ANOVA was applied to examine the effect of mobile phone distraction on selected car-following variables such as driving speed, spacing, and time headway. Overall, drivers tended to select slower driving speeds, larger vehicle spacings, and longer time headways when they were engaged in either hands-free or handheld phone conversations, suggesting possible risk compensatory behaviour. In addition, phone conversations while driving influenced car-following behaviour such that variability was increased in driving speeds, vehicle spacings, and acceleration and decelerations. To further investigate car-following behaviour of distracted drivers, driver time headways were modelled using Generalized Estimation Equation (GEE). After controlling for various exogenous factors, the model predicts an increase of 0.33s in time headway when a driver is engaged in hands-free phone conversation and a 0.75s increase for handheld phone conversation. The findings will improve the collective understanding of distraction on driving performance, in particular car following behaviour which is most critical in the determination of rear-end crashes.

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Section: Dataset For Analysismentioning

confidence: 68%

Impact of mobile phone use on car-following behaviour of young drivers

Saifuzzaman¹,

Boyle²,

Zheng³

et al. 2015

Accident Analysis & Prevention

123

View full text Add to dashboard Cite

show abstract

“…This is commonly attributed erroneously to the handling of the actual device [8], although it has been shown that hands-free devices rarely improve driver performance while talking or texting [17,9,10,8]. Holding conversations with a passenger, in contrast, is found to be much safer.…”

Section: Introductionmentioning

confidence: 99%

Better Driving and Recall When In-car Information Presentation Uses Situationally-Aware Incremental Speech Output Generation

Kennington

Kousidis

Baumann

et al. 2014

Proceedings of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

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It is established that driver distraction is the result of sharing cognitive resources between the primary task (driving) and any other secondary task. In the case of holding conversations, a human passenger who is aware of the driving conditions can choose to interrupt his speech in situations potentially requiring more attention from the driver, but in-car information systems typically do not exhibit such sensitivity. We have designed and tested such a system in a driving simulation environment. Unlike other systems, our system delivers information via speech (calendar entries with scheduled meetings) but is able to react to signals from the environment to interrupt when the driver needs to be fully attentive to the driving task and subsequently resume its delivery. Distraction is measured by a secondary short-term memory task. In both tasks, drivers perform significantly worse when the system does not adapt its speech, while they perform equally well to control conditions (no concurrent task) when the system intelligently interrupts and resumes.

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“…One potential solution to this is to use spoken dialogue systems (SDS) which can understand driver commands and perform tasks. Even though this keeps the driver's visual attention on the road, it has been shown that even hands-free devices do not improve driver performance [10,11,12,23]. Furthermore, simply paying attention to speech was found to induce an additional cognitive load on the driver [7].…”

Section: Introductionmentioning

confidence: 99%

A Multimodal In-Car Dialogue System That Tracks The Driver's Attention

Kousidis

Kennington

Baumann

et al. 2014

Proceedings of the 16th International Conference on Multimodal Interaction

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When a passenger speaks to a driver, he or she is co-located with the driver, is generally aware of the situation, and can stop speaking to allow the driver to focus on the driving task. In-car dialogue systems ignore these important aspects, making them more distracting than even cell-phone conversations. We developed and tested a "situationally-aware" dialogue system that can interrupt its speech when a situation which requires more attention from the driver is detected, and can resume when driving conditions return to normal. Furthermore, our system allows driver-controlled resumption of interrupted speech via verbal or visual cues (head nods). Over two experiments, we found that the situationally-aware spoken dialogue system improves driving performance and attention to the speech content, while driver-controlled speech resumption does not hinder performance in either of these two tasks.

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Texting while driving: Is speech-based text entry less risky than handheld text entry?

Cited by 116 publications

References 48 publications

Impact of mobile phone use on car-following behaviour of young drivers

Impact of mobile phone use on car-following behaviour of young drivers

Better Driving and Recall When In-car Information Presentation Uses Situationally-Aware Incremental Speech Output Generation

A Multimodal In-Car Dialogue System That Tracks The Driver's Attention

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