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Book ChapterDOI

Situation Awareness in Future Autonomous Vehicles: Beware of the Unexpected

Mica R. Endsley
- pp 303-309
TLDR
The Human-Automation System Oversight (HASO) model provides guidance on the design of vehicle autonomy to facilitate effective human-autonomy design for semi-autonomous vehicles.
Abstract
Vehicle autonomy is being heavily promoted as a means of improving transportation safety on the roadways. This goal, however, is highly dependent on the ability of human drivers to maintain situation awareness and intervene in circumstances that the automation cannot handle. While autonomy software is improving, it remains far less capable than human drivers. The automation conundrum shows that even as it improves, system autonomy is increasingly likely to reduce the ability of drivers to provide needed oversight. The Human-Automation System Oversight (HASO) model provides guidance on the design of vehicle autonomy to facilitate effective human-autonomy design for semi-autonomous vehicles.

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Citations
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Journal ArticleDOI

A Review of Shared Control for Automated Vehicles: Theory and Applications

TL;DR: The complete field of shared control in automated vehicles is covered with an emphasis on these aspects: 1) concept, 2) categories, 3) algorithms, and 4) status of technology.
Journal ArticleDOI

Public acceptance and perception of autonomous vehicles: a comprehensive review.

TL;DR: In this paper, the influence of safety, ethics, liability, regulations, and the recent pandemic on the public acceptance of AVs is discussed. But little is known about public acceptance and perception of the AVs technology or the factors that influence public acceptance.
Journal ArticleDOI

Toward human-vehicle collaboration: Review and perspectives on human-centered collaborative automated driving

TL;DR: It is shown that the human-centered collaboration strategy that integrates driver states will largely increase the acceptance of the ADVs and contribute to the development of understandable, trustable, and acceptable ADVs.
Proceedings ArticleDOI

I Drive - You Trust: Explaining Driving Behavior Of Autonomous Cars

TL;DR: This work evaluates mental models that experts and non-expert users have of autonomous driving to provide an explanation of the vehicle's past driving behavior to identify a target mental model that enhances the user's mental model by adding key components from the mental model experts have.
Journal ArticleDOI

Towards simulation-based verification of autonomous navigation systems

TL;DR: This paper presents a comprehensive prototype of a test system for ANS, meaning a digital representation of key elements of the autonomous ship as a key tool for simulation-based testing, which will include a test management system that controls simulation of the digital twin and the virtual world, and generates test scenarios and evaluates the test scenario results.
References
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Journal ArticleDOI

Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations

TL;DR: In this article, the authors proposed a nationally recognized licensing framework for AVs, determining appropriate standards for liability, security, and data privacy, which can be used to improve vehicle safety, congestion, and travel behavior.

Preparing a Nation for Autonomous Vehicles: Opportunities, Barriers and Policy Recommendations

TL;DR: In this paper, the authors proposed a nationally recognized licensing framework for AVs, determining appropriate standards for liability, security, and data privacy for personal travel in the United States, which is based on the work of the authors of this paper.
Journal ArticleDOI

The Out-of-the-Loop Performance Problem and Level of Control in Automation:

TL;DR: This work studied the automation of a navigation task using an expert system and demonstrated that low SA corresponded with out-of-the-loop performance decrements in decision time following a failure of the expert system.
Journal ArticleDOI

The effects of level of automation and adaptive automation on human performance, situation awareness and workload in a dynamic control task

TL;DR: In this paper, the authors extended previous research on two approaches to human-centred automation: intermediate levels of automation (LOAs) for maintaining operator involvement in complex systems control and facilitating situation awareness; and adaptive automation (AA) for managing operator workload through dynamic control allocations between the human and machine over time.
Book

The Book of Why: The New Science of Cause and Effect

TL;DR: A Turing Award-winning computer scientist and statistician as mentioned in this paper showed how understanding causality has revolutionized science and will revolutionize artificial intelligence"Correlation is not causation." This mantra, chanted by scientists for more than a century, has led to a virtual prohibition on causal talk.