Assisting Drivers with Ambient Take-Over Requests in Highly Automated Driving

Borojeni, Shadan Sadeghian; Chuang, Lewis L.; Heuten, Wilko; Böll, Susanne

doi:10.1145/3003715.3005409

Cited by 120 publications

(48 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Seat vibration, for instance, has successfully been employed for conveying spatial information about nearby vehicles before takeovers [29,30]. Similarly, studies have shown that ambient light can be used for comparable applications [3,16]. This research project will further explore these channels in the context of communicating uncertainties.…”

Section: Unobtrusive Feedbackmentioning

confidence: 99%

Enhancing Driving Safety and User Experience Through Unobtrusive and Function-Specific Feedback

Kunze

Summerskill

Marshall

et al. 2017

Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications Adjunct

View full text Add to dashboard Cite

Section: Unobtrusive Feedbackmentioning

confidence: 99%

Enhancing Driving Safety and User Experience Through Unobtrusive and Function-Specific Feedback

Kunze

Summerskill

Marshall

et al. 2017

Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications Adjunct

View full text Add to dashboard Cite

“…The authors identified contributory work across academia and industry. Notable design specifications from this review include: (1) alerts informing of situation and takeover time [40], (2) implementing bimodal (auditory and visual) takeover requests [41], (3) exploring multimodal alerts and the effect of direction on takeover performance [42], (4) ambient and contextual cues to facilitate takeover [43], (5) graded takeover request in "soft takeover request" scenarios [44] and (6) multimodal alerts in relation to urgency [45].…”

Section: Current State Of Handover Assistantsmentioning

confidence: 99%

Automated Vehicle Handover Interface Design: Focus Groups with Learner, Intermediate and Advanced Drivers

2020

View full text Add to dashboard Cite

Conditionally and highly automated vehicles will require drivers to take control as a result of a non-emergency, such as a geographical, terrain, capability or design boundary. It is anticipated that these events will provide the driver with a sufficient amount of time to prepare themselves for the transition of control. This study explores conditionally and highly automated vehicle transitions of control by asking how drivers of differing skill levels (learner, intermediate and advanced) approach the task of designing an interface responsible for making transitions safer, more usable and more efficient. Three focus groups generated detailed designs for vehicle-to-driver transitions in an 1-h and a 10-min "out-of-the-loop" scenarios and transitions from driver to vehicle. Results show great variation in the approaches taken by each skill group (e.g., the reliance on visual interfaces for awareness assist and viewpoints on issues such as multimodal displays). Customization was a common theme throughout, with drivers desiring the option to adjust alert timings and modalities in which information is displayed. This paper presents these designs along with a detailed comparison of group designs and implements distributed situation awareness theory to discuss findings and draw conclusions.

show abstract

“…[15]). Successful human-automation cooperation requires fast and effective communication of the need for manual intervention in these cases (e.g., [16][17][18][19][20][21][22][23]). Therefore, getting the driver back into the loop as fast as possible has been the focus of a large body of research (see [24], for an overview), as this function of the in-vehicle HMI can be viewed as a key element for the safety of automated vehicles.…”

Section: 2mentioning

confidence: 99%

Improving Usefulness of Automated Driving by Lowering Primary Task Interference through HMI Design

Naujoks

Forster

Wiedemann

et al. 2017

Journal of Advanced Transportation

View full text Add to dashboard Cite

During conditionally automated driving (CAD), driving time can be used for non-driving-related tasks (NDRTs). To increase safety and comfort of an automated ride, upcoming automated manoeuvres such as lane changes or speed adaptations may be communicated to the driver. However, as the driver's primary task consists of performing NDRTs, they might prefer to be informed in a nondistracting way. In this paper, the potential of using speech output to improve human-automation interaction is explored. A sample of 17 participants completed different situations which involved communication between the automation and the driver in a motion-based driving simulator. The Human-Machine Interface (HMI) of the automated driving system consisted of a visualauditory HMI with either generic auditory feedback (i.e., standard information tones) or additional speech output. The drivers were asked to perform a common NDRT during the drive. Compared to generic auditory output, communicating upcoming automated manoeuvres additionally by speech led to a decrease in self-reported visual workload and decreased monitoring of the visual HMI. However, interruptions of the NDRT were not affected by additional speech output. Participants clearly favoured the HMI with additional speech-based output, demonstrating the potential of speech to enhance usefulness and acceptance of automated vehicles.

show abstract

Assisting Drivers with Ambient Take-Over Requests in Highly Automated Driving

Cited by 120 publications

References 19 publications

Enhancing Driving Safety and User Experience Through Unobtrusive and Function-Specific Feedback

Enhancing Driving Safety and User Experience Through Unobtrusive and Function-Specific Feedback

Automated Vehicle Handover Interface Design: Focus Groups with Learner, Intermediate and Advanced Drivers

Improving Usefulness of Automated Driving by Lowering Primary Task Interference through HMI Design

Contact Info

Product

Resources

About