Abstract

A new concept in the interior design of autonomous vehicles is rotatable or swivelling seats that allow people sitting in the front row to rotate their seats and face backwards. In the current study, we used a take-over request task conducted in a fixed-based driving simulator to compare two conditions, driver front-facing and rear-facing. Thirty-six adult drivers participated in the experiment using a within-subject design with take-over time budget varied. Take-over reaction time, remaining action time, crash, situation awareness and trust in automation were measured. Repeated measures ANOVA and Generalized Linear Mixed Model were conducted to analyze the results. The results showed that the rear-facing configuration led to longer take-over reaction time (on average 1.56 s longer than front-facing, p < 0.001), but it caused drivers to intervene faster after they turned back their seat in comparison to the traditional front-facing configuration. Situation awareness in both front-facing and rear-facing autonomous driving conditions were significantly lower (p < 0.001) than the manual driving condition, but there was no significant difference between the two autonomous driving conditions (p = 1.000). There was no significant difference of automation trust between front-facing and rear-facing conditions (p = 0.166). The current study showed that in a fixed-based simulator representing a conditionally autonomous car, when using the rear-facing driver seat configuration (where participants rotated the seat by themselves), participants had longer take-over reaction time overall due to physical turning, but they intervened faster after they turned back their seat for take-over response in comparison to the traditional front-facing seat configuration. This behavioral change might be at the cost of reduced take-over response quality. Crash rate was not significantly different in the current laboratory study (overall the average rate of crash was 11%). A limitation of the current study is that the driving simulator does not support other measures of take-over request (TOR) quality such as minimal time to collision and maximum magnitude of acceleration. Based on the current study, future studies are needed to further examine the effect of rotatable seat configurations with more detailed analysis of both TOR speed and quality measures as well as in real world driving conditions for better understanding of their safety implications.

Highlights

  • Autonomous vehicles use sensors and advanced control systems to navigate and move on the road with little or no input from human drivers

  • Society of Automotive Engineers (SAE) taxonomy for autonomous vehicles defines five levels of automation ranging from driver assistance at Level 1 to full automation at Level 5 [1]

  • The results confirmed that facing rear with a rotatable driver seat in an SAE Level 3 autonomous vehicle increases take-over reaction time, which is not surprising because physically rotating the seat will take extra time

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Summary

Introduction

Autonomous vehicles use sensors and advanced control systems to navigate and move on the road with little or no input from human drivers. We used a TOR task in a driving simulator to compare two conditions, found that trust inin autonomous vehicles can bebe increased byby presenting more information about how found trust autonomous vehicles increased presenting more information about front-facing andthat rear-facing while sitting in example, acan conditionally automated car Be compensated by giving additional time budget a reclined driver seat when drivers need to take over from a laid-back posture on the reclined a reclined driver setup seat [22]; when drivers need to take over from a laid-back posture impose on the reclined of TOR.seat, The rear-facing and the additional seat turning action may further a cognitive the reaction time ofof hands-on steering wheel significantly increased. Methods time the driving simulator with a rotatable seat setup

Participants
Task and Experimental Design
Procedure
Data Analysis
Results
Take-over
Remaining
Remaining action time results conditions violin
Discussions
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