Messages beyond the phone: Processing variable message signs while attending hands-free phone calls

Gimeno, Pilar Tejero; Roca, Javier García

doi:10.1016/j.aap.2020.105870

Cited by 5 publications

(5 citation statements)

References 45 publications

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“…The physiological data collected from the participants during the experiment were considered in four studies. The heart rate was measured using devices such as the Nellcor Puritan Bennett SRC-2 pulse oximeter [ 72 , 73 ], the MP100 BIOPAC system [ 147 ], and heart rate plus other cardiovascular reactivity indicators (root mean square of successive differences, systolic blood pressure, diastolic blood pressure, and mean arterial pressure) [ 96 ].…”

Section: Resultsmentioning

confidence: 99%

“…Thus, in connection with talking on the phone while driving, the researchers showed that distracted participants found it more difficult to keep speed variations under control [ 76 ], committed more traffic violations or attention lapses [ 131 ], and failed to take any action to reduce their speed as they approached some hazards [ 91 ]. Cognitive distraction impaired the accumulation of traffic-related information [ 66 , 147 ] and the drivers’ awareness of the safeness of their driving [ 80 ] by diverting attention to an engaging cognitive context other than the one associated with driving [ 65 ]. It has a negative effect on: latent hazard anticipation [ 145 ], reaction time [ 64 , 107 ], headway [ 93 ], lane and speed maintenance [ 111 ], and time to collision [ 132 ], leading to more traffic violations [ 92 ].…”

Section: Discussionmentioning

confidence: 99%

“…Other activities, such as eating and drinking while driving, have less distracting effects on the driver’s behavior than a phone conversation [ 25 , 26 ]. Studies that have taken physiological data into account have shown that phone conversation distraction increases the heart rate [ 72 , 147 ] and blood pressure [ 96 ] compared to driving with no secondary tasks.…”

Section: Discussionmentioning

confidence: 99%

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Talking on the Phone While Driving: A Literature Review on Driving Simulator Studies

Boboc

Voinea

Buzdugan

et al. 2022

IJERPH

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Distracted driving is a growing concern around the world and has been the focus of many naturalistic and simulator-based studies. Driving simulators provide excellent practical and theoretical help in studying the driving process, and considerable efforts have been made to prove their validity. This research aimed to review relevant simulator-based studies focused on investigating the effects of the talking-on-the-phone-while-driving distraction on drivers’ behavior. This work is a scoping review which followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Extension for Scoping Reviews (PRISMA-ScR) guidelines. The search was performed on five databases, covering twenty years of research results. It was focused on finding answers to three research questions that could offer an overview of the main sources of distraction, the research infrastructure, and the measures that were used to analyze and predict the effects of distractions. A number of 4332 studies were identified in the database search, from which 83 were included in the review. The main findings revealed that TPWD distraction negatively affects driving performance, exposing drivers to dangerous traffic situations. Moreover, there is a general understanding that the driver’s cognitive, manual, visual, and auditory resources are all involved, to a certain degree, when executing a secondary task while driving.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Talking on the Phone While Driving: A Literature Review on Driving Simulator Studies

Boboc

Voinea

Buzdugan

et al. 2022

IJERPH

View full text Add to dashboard Cite

show abstract

“…Cognitive tasks lead to increased HR and decreased HRV in laboratory environments (Hughes et al, 2019 ), as well as in driving studies in simulators (Belyusar et al, 2015 ; Hidalgo-Muñoz et al, 2019 ; Tejero and Roca, 2021 ) and on real roads (Reimer and Mehler, 2011 ; Mehler et al, 2012 ). The effects of driving demand on HR and HRV are however varying.…”

Section: Theorymentioning

confidence: 99%

Let Complexity Bring Clarity: A Multidimensional Assessment of Cognitive Load Using Physiological Measures

Nilsson¹,

Bärgman²,

Aust³

et al. 2022

Front. Neuroergonomics

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The effects of cognitive load on driver behavior and traffic safety are unclear and in need of further investigation. Reliable measures of cognitive load for use in research and, subsequently, in the development and implementation of driver monitoring systems are therefore sought. Physiological measures are of interest since they can provide continuous recordings of driver state. Currently, however, a few issues related to their use in this context are not usually taken into consideration, despite being well-known. First, cognitive load is a multidimensional construct consisting of many mental responses (cognitive load components) to added task demand. Yet, researchers treat it as unidimensional. Second, cognitive load does not occur in isolation; rather, it is part of a complex response to task demands in a specific operational setting. Third, physiological measures typically correlate with more than one mental state, limiting the inferences that can be made from them individually. We suggest that acknowledging these issues and studying multiple mental responses using multiple physiological measures and independent variables will lead to greatly improved measurability of cognitive load. To demonstrate the potential of this approach, we used data from a driving simulator study in which a number of physiological measures (heart rate, heart rate variability, breathing rate, skin conductance, pupil diameter, eye blink rate, eye blink duration, EEG alpha power, and EEG theta power) were analyzed. Participants performed a cognitively loading n-back task at two levels of difficulty while driving through three different traffic scenarios, each repeated four times. Cognitive load components and other coinciding mental responses were assessed by considering response patterns of multiple physiological measures in relation to multiple independent variables. With this approach, the construct validity of cognitive load is improved, which is important for interpreting results accurately. Also, the use of multiple measures and independent variables makes the measurements (when analyzed jointly) more diagnostic—that is, better able to distinguish between different cognitive load components. This in turn improves the overall external validity. With more detailed, diagnostic, and valid measures of cognitive load, the effects of cognitive load on traffic safety can be better understood, and hence possibly mitigated.

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“…They can be used to provide information regarding weather and road conditions or send warning signs to the drivers in different cases. DMS provides road users with information that they can use on their journey to make smart decisions that will result in safer or shorter travel times [3][4][5][6][7][8]. LCS are small electronic signs placed specifically for each lane on the road.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Effect of Dynamic Message Signs and Lane Control Signs on Driver Behavior in a Developing Country

Alsoub

2022

Infrastructures

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Developing countries are continuously upgrading their transportation systems. The latest improvement in Qatar, a fast-developing country in the Middle East, was the installation of dynamic message signs (DMS) and lane control signs (LCS). These signs were installed in multiple areas in the city of Doha, the capital of Qatar. However, there have been no studies in Qatar or the region regarding the effectiveness of such signs on driver behavior. This study aims to evaluate and compare the impact of DMS and LCS on driving behavior on different types of roads. A real-life driving experiment was conducted along a defined route in Doha that consists of three sections: arterial road, freeway with electronic signs, and freeway without electronic signs. The details of the trips were recorded using multiple methods. The results showed that the introduction of DMS and LCS did not significantly affect speed compliance. The results also indicated that LCS and DMS did not have a major effect on other driver behavior variables such as harsh braking and lane changing. The study provided several recommendations to road authorities concerning the deployment of electronic signs and highlighted a few topics for future research work.

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Messages beyond the phone: Processing variable message signs while attending hands-free phone calls

Cited by 5 publications

References 45 publications

Talking on the Phone While Driving: A Literature Review on Driving Simulator Studies

Talking on the Phone While Driving: A Literature Review on Driving Simulator Studies

Let Complexity Bring Clarity: A Multidimensional Assessment of Cognitive Load Using Physiological Measures

Evaluating the Effect of Dynamic Message Signs and Lane Control Signs on Driver Behavior in a Developing Country

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