A Human-Machine Interface for Cooperative Highly Automated Driving

Naujoks, Frederik; Forster, Yannick; Wiedemann, Katharina; Neukum, Alexandra

doi:10.1007/978-3-319-41682-3_49

Cited by 53 publications

(49 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As an example, Naujoks et al [46] provided a prototype handover interface that gives the driver information about the current situation prior to taking control. Elements include the speed of the vehicle, the type of road event that is causing the handover and distance to the event.…”

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

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

show abstract

“…Based on the literature [14,13,4,8] and expert interviews, the proposed user interface (UI)2 is designed. The range and the status of the front and back radar sensors are visualized separately with triangles and colors, considering the ego vehicle and its surroundings (see Figure.…”

Section: Interface Displaying Sensor Informationmentioning

confidence: 99%

Spatial visualization of sensor information for automated vehicles

Yan

Karaosmanoglu

Demir

et al. 2019

Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct

View full text Add to dashboard Cite

“…For example, it has been proposed to display the time left in automated mode and the confidence level of the automated vehicle to further enhance the safety and efficiency of transitions to manual driving [25][26][27][28]. Furthermore, conditionally automated vehicles may also be capable of managing certain noncritical driving situations without any driver intervention, such as overtaking or adaptation of the host vehicle's speed.…”

Section: 2mentioning

confidence: 99%

“…The driver's engagement in the NDRT during system-initiated manoeuvres as well as the drivers' subjective evaluations of the HMI was analysed. The visual HMI was designed and evaluated in a previous study [27,33] and consisted of a visual-auditory interface that either used generic auditory output (i.e., standard warning and notification tones, condition: "generic") or additional speech output (condition: "speech + generic"). It was expected that additional speech would enhance the human-automation cooperation and that the participants would be less inclined to interrupt the NDRTs.…”

Section: Studymentioning

confidence: 99%

“…Visual information is provided in a Head-Up Display (HUD). At this point, it is Journal of Advanced Transportation important to emphasise that the usefulness of the visual HMI was previously demonstrated and further improved in a prior study [27,33]. In addition to the visual display, generic auditory output was presented together with the visual announcement of the traffic event.…”

Section: Human-machine Interface the Visual Part Of The Hmi Is Shown Inmentioning

confidence: 99%

See 1 more Smart Citation

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

Naujoks

Forster

Wiedemann

et al. 2017

Journal of Advanced Transportation

Self Cite

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

A Human-Machine Interface for Cooperative Highly Automated Driving

Cited by 53 publications

References 15 publications

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

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

Spatial visualization of sensor information for automated vehicles

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

Contact Info

Product

Resources

About