Analysis of human steering behavior differences in human-in-control and autonomy-in-control driving
Rene Mai, Agung Julius, Sandipan Mishra

TL;DR
This paper investigates how human steering behavior differs between direct control and shared autonomy scenarios, revealing that existing models fail under autonomous control and proposing a potential underlying model for shared control conditions.
Contribution
It demonstrates that traditional steering models do not predict human behavior accurately in shared autonomy, and identifies a common distribution for prediction errors in autonomous control contexts.
Findings
Steering models fail to predict behavior in shared autonomy.
Error distribution is consistent across different shared control conditions.
A potential underlying model for human steering in shared autonomy is suggested.
Abstract
Steering models (such as the generalized two-point model) predict human steering behavior well when the human is in direct control of a vehicle. In vehicles under autonomous control, human control inputs are not used; rather, an autonomous controller applies steering and acceleration commands to the vehicle. For example, human steering input may be used for state estimation rather than direct control. We show that human steering behavior changes when the human no longer directly controls the vehicle and the two are instead working in a shared autonomy paradigm. Thus, when a vehicle is not under direct human control, steering models like the generalized two-point model do not predict human steering behavior. We also show that the error between predicted human steering behavior and actual human steering behavior reflects a fundamental difference when the human directly controls the…
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Taxonomy
TopicsHuman-Automation Interaction and Safety
