DeepAI
Log In Sign Up

Exploration of increasing drivers trust in a semi-autonomous vehicle through real time visualizations of collaborative driving dynamic

07/05/2021
by   A. Koegel, et al.
0

The Thinking Wave is an ongoing development of visualization concepts showing the real-time effort and confidence of semi-autonomous vehicle (AV) systems. Offering drivers access to this information can inform their decision making, and enable them to handle the situation accordingly and takeover when necessary. Two different visualizations have been designed, Concept one, Tidal, demonstrates the AV systems effort through intensified activity of a simple graphic which fluctuates in speed and frequency. Concept two, Tandem, displays the effort of the AV system as well as the handling dynamic and shared responsibility between the driver and the vehicle system. Working collaboratively with mobility research teams at the University of Tokyo, we are prototyping and refining the Thinking Wave and its embodiments as we work towards building a testable version integrated into a driving simulator. The development of the thinking wave aims to calibrate trust by increasing the drivers knowledge and understanding of vehicle handling capacity. By enabling transparent communication of the AV systems capacity, we hope to empower AV-skeptic drivers and keep over-trusting drivers on alert in the case of an emergency takeover situation, in order to create a safer autonomous driving experience.

READ FULL TEXT

page 5

page 6

page 7

page 8

06/11/2021

Improving Take-over Situation by Active Communication

In this short paper an idea is sketched, how to support drivers of an au...
04/16/2019

A Case Study of Trust on Autonomous Driving

As autonomous vehicles have benefited the society, understanding the dyn...
04/23/2018

Adaptive Performance Assessment For Drivers Through Behavioral Advantage

The potential positive impact of autonomous driving and driver assistanc...
12/17/2019

EyeCar: Modeling the Visual Attention Allocation of Drivers in Semi-Autonomous Vehicles

A safe transition between autonomous and manual control requires sustain...
10/13/2018

Hierarchical Game-Theoretic Planning for Autonomous Vehicles

The actions of an autonomous vehicle on the road affect and are affected...
07/07/2018

Effects of Predictive Real-Time Traffic Signal Information

This paper analyzes the impact of providing car drivers with predictive ...
10/29/2018

Modelling visual-vestibular integration and behavioural adaptation in the driving simulator

It is well established that not only vision but also other sensory modal...