Automation Confusion: Mental Models for Safe Vehicle Adoption

Author:

Biondi Francesco N.ORCID

Abstract

An accurate and complete understanding of automated systems is necessary for their safe and effective use. In this article, I discuss the importance that driver’s mental models play in advanced driver assistance systems adoption. After discussing the contribution that the wider human factors literature made to the investigation on mental models, I discuss the safety risks associated with motorists’ incomplete or faulty mental models of assistance systems. Furthermore, I examine three solutions to educate motorists on how to operate assistance systems, and how a correct, complete understanding of these systems makes their adoption safer.

Funder

ontario centres of excellence

iNAGO

Publisher

SAGE Publications

Subject

General Engineering,Human Factors and Ergonomics

Reference1 articles.

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Preface to the Special Issue on Assessment and Effectiveness of Driver Monitoring Systems;Human Factors: The Journal of the Human Factors and Ergonomics Society;2023-11-13

2. Exploring the factors influencing acquisition and learning experiences of cars fitted with advanced driver assistance systems (ADAS);Transportation Research Part F: Traffic Psychology and Behaviour;2023-04

3. Mental models of driver monitoring systems: Perceptions of monitoring capabilities in an online U.S-based sample;Transportation Research Part F: Traffic Psychology and Behaviour;2022-11

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