Modelling driver acceptance of driver support systems

Rahman, Mahmudur; Strawderman, Lesley; Lesch, Mary F.; Horrey, William J.; Babski-Reeves, Kari; Garrison, Teena M.

doi:10.1016/j.aap.2018.08.028

Cited by 60 publications

(22 citation statements)

References 45 publications

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“…The visual warnings for collisions consisted of a flashing red triangle, while for lane departure a distinct representative visual icon was used. By using different icons, the users can understand the reason for receiving specific warnings and this was proven to increase confidence in the system [ 62 ].…”

Section: Methodsmentioning

confidence: 99%

“…Thus, the study of drivers’ acceptance is crucial and should be addressed in the early stages of development and implementation. A recent model of drivers’ acceptance based on five components (attitude, perceived usefulness, endorsement, affordability, and compatibility) was able to predict 85% of the variability in drivers’ acceptance of driver support systems [ 62 ]. More research concerning the drivers’ acceptance of assistive technologies is essential in the context of our changing society, where technology is becoming more accessible and ubiquitous.…”

Section: Introductionmentioning

confidence: 99%

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Driving Performance and Technology Acceptance Evaluation in Real Traffic of a Smartphone-Based Driver Assistance System

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et al. 2020

IJERPH

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Technological advances are changing every aspect of our lives, from the way we work, to how we learn and communicate. Advanced driver assistance systems (ADAS) have seen an increased interest due to the potential of ensuring a safer environment for all road users. This study investigates the use of a smartphone-based ADAS in terms of driving performance and driver acceptance, with the aim of improving road safety. The mobile application uses both cameras of a smartphone to monitor the traffic scene and the driver’s head orientation, and offers an intuitive user interface that can display information in a standard mode or in augmented reality (AR). A real traffic experiment consisting of two driving conditions (a baseline scenario and an ADAS scenario), was conducted in Brasov, Romania. Objective and subjective data were recorded from twenty-four participants with a valid driver’s license. Results showed that the use of the ADAS influences the driving performance, as most of them adopted an increased time headway and lower mean speeds. The technology acceptance model (TAM) questionnaire was used to assess the users’ acceptance of the proposed driver assistance system. The results showed significant interrelations between acceptance factors, while the hierarchical regression analysis indicates that the variance of behavioral intention (BI) can be predicted by attitude toward behavior.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Driving Performance and Technology Acceptance Evaluation in Real Traffic of a Smartphone-Based Driver Assistance System

Voinea

Postelnicu

Duguleană

et al. 2020

IJERPH

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“…Compatibility can be defined as the degree to which a technology complies with the needs and lifestyles of users [33]. To enhance the explanatory power of TAM, it has been integrated with the compatibility construct to account for the acceptance of different technologies such as mobile banking [14], smartphone [34] and driver support system [35]. It was found that compatibility positively influenced perceived usefulness and perceived ease of use in the mobile banking acceptance study of Mutahar, et al [14].…”

Section: Compatibilitymentioning

confidence: 99%

Critical Factors Influencing Acceptance of Automated Vehicles by Hong Kong Drivers

et al. 2020

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This study aimed to identify critical factors that influence acceptance of automated vehicles among drivers. The focus of this study was on automated vehicles (AVs) of level 3 (conditional driving automation) as defined by the Society of Automotive Engineers. A research model was proposed here by using the technology acceptance model (TAM) with trust, risk perception (perceived safety risk and perceived privacy risk), compatibility, and system quality. A cross-sectional structured questionnaire survey was used to collect quantitative data from 237 drivers in Hong Kong. The data were analyzed to test the proposed research model by structural equation modeling. The proposed research model was found to explain 68% of the variance in intention to use AVs. In contrast with the TAM constructs of perceived usefulness and perceived ease of use, the results of this study indicated that trust was the most important factor in shaping a positive attitude towards using AVs, which affected driver intention to use AVs. Also, trust was found to be influenced by perceived safety risk, compatibility, and system quality. This study is the first attempt to consider technological factors related to AVs (compatibility and system quality) in explaining AV acceptance among drivers and highlighted the importance of the technological factors in the context of driver acceptance of AVs. Based on the findings of this study, several recommendations are discussed to help AV developers and governments to improve driver attitudes towards adoption of AVs.

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“…For determining whether or not certain factors have any effect in reducing road traffic crashes, most published papers have used regression models with simulated [2] or observational data [10]. Low pavement marking visibility has been shown to increase the rate of accidents at night, compared to during the day, by the two popular methods: potential outcomes and causal diagrams frameworks.…”

Section: State Of Art: Data Science In the Roadmentioning

confidence: 99%

“…To interact with the sign systems and for the driver to have a contextual [10] knowledge, we need a technique that can solve the problems mentioned above. From a construction area, an automated behavior system can disclose the location of a traffic guide mannequin robot device.…”

Section: A Sensor Communication System For Users Near the Point Of Issuementioning

confidence: 99%

Safety Lighting Sensor Robots Communicate in the Middle of the Highway/Roads

et al. 2020

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A new robot-to-robot communication system is designed for operation in the middle of highways/roads to support mobile safety of approaching vehicles. Robot devices capable of directing a vehicle on a bypass route using the proposed vehicle guidance method are detailed. The safety device includes a detector configured to detect a vehicle approaching the sensor robot and an image projector configured to project an image onto the road surface of the approaching vehicle when the vehicle is recognized. Robots can interact in two ways: (1) directly with drivers in the car to avoid the lane problem and (2) among sensor robots in ad-hoc networks, to transfer the information to the cloud to distribute via the mobile app for users far away from the location. In summary, the research results show that the sensor robots and mobile app mainly operated from 6 a.m. to 10 a.m. and provided customized service by modifying/solving uncommon sudden events on the road quickly.

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Modelling driver acceptance of driver support systems

Cited by 60 publications

References 45 publications

Driving Performance and Technology Acceptance Evaluation in Real Traffic of a Smartphone-Based Driver Assistance System

Driving Performance and Technology Acceptance Evaluation in Real Traffic of a Smartphone-Based Driver Assistance System

Critical Factors Influencing Acceptance of Automated Vehicles by Hong Kong Drivers

Safety Lighting Sensor Robots Communicate in the Middle of the Highway/Roads

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