Abstract

With the rise of partially automated cars, drivers are more and more required to judge the degree of responsibility that can be delegated to vehicle assistant systems. This can be supported by utilizing interfaces that intuitively convey real-time reliabilities of system functions such as environment sensing. We designed a vibrotactile interface that communicates spatiotemporal information about surrounding vehicles and encodes a representation of spatial uncertainty in a novel way. We evaluated this interface in a driving simulator experiment with high and low levels of human and machine confidence respectively caused by simulated degraded vehicle sensor precision and limited human visibility range. Thereby we were interested in whether drivers (i) could perceive and understand the vibrotactile encoding of spatial uncertainty, (ii) would subjectively benefit from the encoded information, (iii) would be disturbed in cases of information redundancy, and (iv) would gain objective safety benefits from the encoded information. To measure subjective understanding and benefit, a custom questionnaire, Van der Laan acceptance ratings and NASA TLX scores were used. To measure the objective benefit, we computed the minimum time-to-contact as a measure of safety and gaze distributions as an indicator for attention guidance. Results indicate that participants were able to understand the encoded uncertainty and spatiotemporal information and purposefully utilized it when needed. The tactile interface provided meaningful support despite sensory restrictions. By encoding spatial uncertainties, it successfully extended the operating range of the assistance system.

Highlights

  • Modern cars are equipped with sensor systems that surpass human perception in various ways.For example, camera systems may offer continuous 360-degree vision and Lidar can provide vision in the dark

  • Participants strongly indicated weather conditions as a cause for feeling unconfident whereas other road users had a smaller influence and belt signals were not negatively affecting confidence. None of these three factors reduced confidence. These ratings suggest that our experimental manipulation of human uncertainty through different weather conditions was successful

  • For the human certain conditions (HC–green), we found that usefulness was rated as significantly higher with uncertainty communication enabled (MU-HC-uc) than disabled (MU-HC), MU-HC-uc vs. MU-HC: w = 16.5, p = 0.012 (

Read more

Summary

Introduction

Modern cars are equipped with sensor systems that surpass human perception in various ways. Camera systems may offer continuous 360-degree vision and Lidar can provide vision in the dark. Advanced driver assistance systems use these sensor capabilities by providing the driver with supportive information (e.g., lane departure warning, blind-spot detection, navigation) or by taking over control (e.g., adaptive cruise control, automated lane-keeping). The reliability of sensory systems may degrade due to changes in the environment. Lidar measurements tends to decrease in the rain [1], and car manufacturers warn about reduced reliability of sensors in tunnels Since drivers cannot be expected to have an understanding of the functioning (or the mere existence) of these sensor systems, they may benefit

Objectives
Results
Discussion
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.