User expectations of partial driving automation capabilities and their effect on information design preferences in the vehicle

Ulahannan, Arun; Cain, Rebecca; Thompson, Simon G.; Skrypchuk, Lee; Mouzakitis, Alexandros; Jennings, Paul; Birrell, Stewart A.

doi:10.1016/j.apergo.2019.102969

Cited by 24 publications

(21 citation statements)

References 36 publications

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“…Furthermore, this paper described how the three visual feedback levels (from low to high) can affect driver's trust level. However, recent research (Ulahannan et al, 2020a;Ulahannan et al, 2020b) have suggested that different people preferred different information types (High Information Preference and Low Information Preference). Ulahannan et al's (2020a) study highlighted that presenting different types of feedback information (status vs intent) can impact on drivers' trust level.…”

Section: Discussionmentioning

confidence: 99%

“…Verberne et al (2012) suggest that providing feedback of the current automation status to the environment can potentially increase the level of trust in the driver. However, providing the right level of feedback for each user within an automated vehicle is also essential, as different users will have different information expectations and preferences (Ulahannan et al, 2020b). The findings suggested that it is essential for the drivers to understand what the vehicle is doing and why, and keeping the drivers informed about the vehicle's condition is significant.…”

Section: Introductionmentioning

confidence: 99%

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Investigating what level of visual information inspires trust in a user of a highly automated vehicle

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Investigating what level of visual information inspires trust in a user of a highly automated vehicle

et al. 2021

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“…Depending on the preference of the driver's level of information acceptance, the information displayed in the HUD may receive a negative response. To address this, an adaptable interface design should be introduced to take into account the factors that can inspire user experience by considering those who prefer low information acceptance [57,58]. The adaptable interface design can be appropriately considered for intuitiveness and safety, which familiarizes the driver with the context for vehicle information.…”

Section: Discussionmentioning

confidence: 99%

Ergonomic Guidelines of Head-Up Display User Interface during Semi-Automated Driving

Park

2020

Electronics

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Self-driving vehicles are emerging as a result of technological advances, and the range of human behavior is expanding. The collateral information on driving is increasing, and head-up displays (HUDs) can be coupled with augmented reality displays to convey additional information to drivers in innovative ways. Interference between the actual driving environment and the displayed information can cause distractions. Research is required to find out what information should be displayed and how to properly display it considering the number of information, as well as the location and arrangement of the HUD. This study aims to examine the types of HUD information presentation that enhance the driver’s intuitive understanding. The first experiment identified which information affects drivers more in self-driving conditions in terms of error rate and importance. As a result, information that the drivers consider to be of greater importance or more relevant to their safety was selected. The level of HUD information complexity was assessed in the second experiment. The independent variables were the number of symbols, location of the HUD, and arrangement of the HUD. The results showed that the number of symbols was most affected and that fewer than six should be displayed. Besides, the arrangement of contents was more intuitive when a vertical alignment was used, and the main content should be placed in the center of the windshield area. Finally, ergonomic design guidelines of the information presentation type are proposed in this study.

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“…Finally, driving simulation can be used to test the interaction between fully autonomous vehicles and passengers. In [118], the authors investigate the preference of passengers regarding the level of information the autonomous system exchanges, such as sensor information, directions, and status. This study points out that different users will require different levels of information, which should be accounted for when designing autonomous systems.…”

Section: B Autonomous Systems Developmentmentioning

confidence: 99%

A Review of Driving Simulation Technology and Applications

Bruck

Haycock

Emadi

2021

IEEE Open J. Veh. Technol.

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Driving simulation has become a very useful tool for vehicle design and research in industry and educational institutes. This paper provides a review of driving simulator components, including the vehicle dynamics model, the motion system, and the virtual environment, and how they interact with the human perceptual system in order to create the illusion of the driving. In addition, a sample of current state-of-the-art vehicle simulators and algorithms are described. Finally, current applications are discussed, such as driver-centered studies, chassis and powertrain design, and autonomous systems development.

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User expectations of partial driving automation capabilities and their effect on information design preferences in the vehicle

Cited by 24 publications

References 36 publications

Investigating what level of visual information inspires trust in a user of a highly automated vehicle

Investigating what level of visual information inspires trust in a user of a highly automated vehicle

Ergonomic Guidelines of Head-Up Display User Interface during Semi-Automated Driving

A Review of Driving Simulation Technology and Applications

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