Keeping the driver in the loop in conditionally automated driving: A perception-action theory approach

Dillmann, Jeremy; Hartigh, Ruud den; Kurpiers, Christina; Raisch, Florian; Waard, Dick de; Cox, Ralf F. A.

doi:10.1016/j.trf.2021.03.003

Cited by 12 publications

(3 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recent research has focused on NDRTs and passenger experiences, in which drivers/ passengers perform office tasks or engage in entertainment activities. However, in conditionally automated vehicles, such tasks are conducted with the need to keep the driver in the loop (i.e., without the driver losing control of the vehicle, even in AD mode) (Dillmann et al, 2021), as they must be able to assume control of the vehicle in the event of an emergency (Frison et al, 2019). Therefore, it can be very convenient for the driver to gaze in the direction of the traffic while using the windshield as a display (Smith et al, 2016).…”

Section: Related Workmentioning

confidence: 99%

Towards Personalized 3D Augmented Reality Windshield Displays in the Context of Automated Driving

Riegler

Riener

Holzmann

2022

Front. Future Transp.

View full text Add to dashboard Cite

As vehicle automation advances, drivers of automated vehicles become more disengaged from the primary driving task. Windshield displays provide a large screen space supporting drivers in non-driving related activities. This article presents user preferences as well as task and safety issues for 3D augmented reality windshield displays in automated driving. Participants of a user study (n = 24) customized two modes of content presentation (multiple content-specific windows vs. one main window), and could freely adjust visual parameters for these content windows using a simulated “ideal” windshield display in a virtual reality driving simulator. We found that user preferences differ with respect to contextual aspects. Additionally, using one main content window resulted in better task performance and lower take-over times, but the subjective user experience was higher for the multi-window user interface. These findings help automotive interface designers to improve experiences in automated vehicles.

show abstract

Section: Related Workmentioning

confidence: 99%

Towards Personalized 3D Augmented Reality Windshield Displays in the Context of Automated Driving

Riegler

Riener

Holzmann

2022

Front. Future Transp.

View full text Add to dashboard Cite

show abstract

“…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]. Furthermore, the influence of acceptance and trust on driving behavior is currently under examination [6], [21].…”

Section: A Acceptance and Trustmentioning

confidence: 99%

“…Furthermore, the influence of acceptance and trust on driving behavior is currently under examination [6], [21]. Current experiments are mainly conducted in simulators [6], [11], [14], [18]- [22], or utilizing a Wizard of Oz (WOz) approach [13], [17] on a test track. Other studies are restricted to examining the society's acceptance and trust, both from a drivers and an outside perspective, through online surveys without considering actual experience [1], [4], [10], [12].…”

Section: A Acceptance and Trustmentioning

confidence: 99%

Requirements of Elderly Drivers for the HMI of Automated Vehicles

et al. 2022

View full text Add to dashboard Cite

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.

show abstract

Keeping the driver in the loop through semi-automated or manual lane changes in conditionally automated driving

Dillmann

Hartigh

Kurpiers

et al. 2021

Accident Analysis & Prevention

View full text Add to dashboard Cite

Keeping the driver in the loop in conditionally automated driving: A perception-action theory approach

Cited by 12 publications

References 43 publications

Towards Personalized 3D Augmented Reality Windshield Displays in the Context of Automated Driving

Towards Personalized 3D Augmented Reality Windshield Displays in the Context of Automated Driving

Requirements of Elderly Drivers for the HMI of Automated Vehicles

Keeping the driver in the loop through semi-automated or manual lane changes in conditionally automated driving

Contact Info

Product

Resources

About