Driver distraction and its effects on partially automated driving performance: A driving simulator study among young-experienced drivers

Zangi, Noa; Srour-Zreik, Rawan; Ridel, Dana; Chasidim, Hadas; Borowsky, Avinoam

doi:10.1016/j.aap.2022.106565

Cited by 43 publications

(15 citation statements)

References 31 publications

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“…Impaired driving, caused by alcohol consumption, drug usage, drowsiness, extreme emotional states, is another severe threat to transportation safety. Consistent with existing literature (Ferguson, 2012;Zangi et al, 2022;NCSA, 2019), our research demonstrated that these impairments largely increased the risk of crash.…”

Section: Discussionsupporting

confidence: 91%

“…Distracted driving is defined as the driver interaction or involvement in the secondary tasks such as talking on cellphone, conversation with passenger, eating among others (Osman and Rakha, 2020). Research has demonstrated that there was two to four folds increment in collision risk when drivers engaged in secondary tasks (Hosking, 2007;Victor et al, 2015;Zangi et al, 2022). According to National Center for Statistics and Analysis, more than one quarter people killed in traffic crashes in 2018 were due to alcohol-impaired driving (NCSA, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…In addition, distracted driving and impaired driving have received much attention from researchers (Zangi et al, 2022;Ferguson, 2012). Distracted driving is defined as the driver interaction or involvement in the secondary tasks such as talking on cellphone, conversation with passenger, eating among others (Osman and Rakha, 2020).…”

Section: Introductionmentioning

confidence: 99%

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Investigating the Eﬀects of Driver Factors on Crash Involvement using SHRP2 Naturalistic Driving Study Dataset

Pesaru

2022

Proceedings of the Human Factors and Ergonomics Society Annual

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Driver factors are increasingly recognized as important factors contributing to traﬃc-related morbidity and mortality. This study aimed to investigate how driver factors, including driver-related demographics, driving-related experience, and trip-related behaviors, inﬂuenced the risk of crashes and near-crashes (CNC). Using the Second Strategic Highway Research Program (SHRP2) Naturalistic Driving Study (NDS) dataset, we employed a mixed-eﬀects logistic regression model to examine the eﬀects. Results showed that male drivers, young adults, and drivers with abnormal psychological symptoms had signiﬁcantly higher probabilities of undergoingCNC.Driverswithcrashorviolationexperience, andfeweryearsofdrivingwerehighlysusceptible to CNC. Furthermore, driving impairment, alcohol consumption, distracted driving, less than one hand on the wheel, and traﬃc law violations signiﬁcantly increased the probability of having CNC. Our ﬁndings can help raise the safety awareness of major stakeholders and inform the development of countermeasures to reduce crashes.

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Section: Discussionsupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

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Investigating the Eﬀects of Driver Factors on Crash Involvement using SHRP2 Naturalistic Driving Study Dataset

Pesaru

2022

Proceedings of the Human Factors and Ergonomics Society Annual

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“…Current studies on acceptance and trust in the context of automated driving focus in particular on which factors influence acceptance and trust of automated vehicles in society [1], [4], [10]- [17]. The research examines how the actual experience of one [11], [13], [14], [17]- [19] or more trips [20], [21] affects the development of acceptance and trust. The focus is often on takeover scenarios in SAE Level 3 automated vehicles, where responsibility for Object and Event Detection and Response (OEDR) switches from the ADS to the human driver [6], [18], [22].…”

Section: A Acceptance and Trustmentioning

confidence: 99%

Requirements of Elderly Drivers for the HMI of Automated Vehicles

et al. 2022

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This study investigates the impact of initial contact of drivers with an SAE Level 3 Automated Driving System (ADS) under real traffic conditions, focusing on the Mercedes-Benz Drive Pilot in the EQS. It examines Acceptance, Trust, Usability, and User Experience. Although previous studies in simulated environments provided insights into human-automation interaction, real-world experiences can differ significantly. The research was conducted on a segment of German interstate with 30 participants lacking familiarity with Level 3 ADS. Preand post-driving questionnaires were used to assess changes in acceptance and confidence. Supplementary metrics included post-driving ratings for usability and user experience. Findings reveal a significant increase in acceptance and trust following the first contact, confirming results from prior simulator studies. Factors such as Performance Expectancy, Effort Expectancy, Facilitating Condition, Self-Efficacy, and Behavioral Intention to use the vehicle were rated higher after initial contact with the ADS. However, inadequate communication from the ADS to the human driver was detected, highlighting the need for improved communication to prevent misuse or confusion about the operating mode. Contrary to prior research, we found no significant impact of general attitudes towards technological innovation on acceptance and trust. However, it's worth noting that most participants already had a high affinity for technology. Although overall reception was positive and showed an upward trend post first contact, the ADS was also perceived as demanding as manual driving. Future research should focus on a more diverse participant sample and include longer or multiple realtraffic trips to understand behavioral adaptations over time.

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“…Driving behavior and practices are some of the most crucial factors in traffic collisions [ 4 ] and the use of mobile phones has been identified as one of the most distractive factors [ 5 ]. Driver distraction impairs risk perception and vehicle performance [ 6 ]. The National Household Travel Survey (2017) has identified other common risk factors for road collisions.…”

Section: Introductionmentioning

confidence: 99%

Psychological Functioning, Defense Strategies and the Contribution of Perceived Family Collaboration in Adolescents Who Experienced Multiple Motor Vehicle Crashes: A Descriptive Study

Vito

Cerniglia

Cimino

2022

IJERPH

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Adolescents frequently experience motor vehicle collisions (MVCs). Research has mostly underlined the psychological outcomes, rather than adolescents’ general emotional–behavioral functioning and the role played by family. This study aims to explore the emotional–behavioral functioning, measured with the Youth Self Report (YSR), difficulties to identify and describe emotions, measured with the Toronto Alexithymia Scale (TAS-20), the use of defense strategies, measured with the Response Evaluation Measure for Youth (REM-71), and perceived family collaboration, measured with the Perceived Collective Family scale, in adolescents that have experienced more than three MVCs in a year. N = 150 adolescents who visited an emergency department for MVCs were assessed through self-report questionnaires. Adolescents showed difficulties to identify and describe their emotions and a massive use of defense strategies. Moreover, lower perceived family collaboration predicted adolescents’ alexithymic traits and the massive use of maladaptive defense strategies. These results may be useful in assessing and creating prevention programs for risky driving behaviors in adolescence.

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Driver distraction and its effects on partially automated driving performance: A driving simulator study among young-experienced drivers

Cited by 43 publications

References 31 publications

Investigating the Eﬀects of Driver Factors on Crash Involvement using SHRP2 Naturalistic Driving Study Dataset

Investigating the Eﬀects of Driver Factors on Crash Involvement using SHRP2 Naturalistic Driving Study Dataset

Requirements of Elderly Drivers for the HMI of Automated Vehicles

Psychological Functioning, Defense Strategies and the Contribution of Perceived Family Collaboration in Adolescents Who Experienced Multiple Motor Vehicle Crashes: A Descriptive Study

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