# Driving behavior model considering driver's over-trust in driving automation system

## TL;DR

This paper explores how over-trust in driving automation systems affects driver behavior, proposing a model to prevent over-trust and improve safety as automation levels increase.

## Contribution

It introduces a novel driving behavior model considering over-trust, integrating trust, risk homeostasis, and interface design to mitigate over-trust issues.

## Key findings

- Defined over-trust in DAS and its occurrence conditions
- Proposed a behavior model linking trust and over-trust prevention
- Suggests interface design to reduce over-trust risks

## Abstract

Levels one to three of driving automation systems~(DAS) are spreading fast. However, as the DAS functions become more and more sophisticated, not only the driver's driving skills will reduce, but also the problem of over-trust will become serious. If a driver has over-trust in the DAS, he/she will become not aware of hazards in time. To prevent the driver's over-trust in the DAS, this paper discusses the followings: 1) the definition of over-trust in the DAS, 2) a hypothesis of occurrence condition and occurrence process of over-trust in the DAS, and 3) a driving behavior model based on the trust in the DAS, the risk homeostasis theory, and the over-trust prevention human-machine interface.