Towards guidelines and verification methods for automated vehicle HMIs-Reference-Cited by-同舟云学术

Towards guidelines and verification methods for automated vehicle HMIs

Published:2019-01 Issue: Volume:60 Page:121-136
ISSN:1369-8478
Container-title:Transportation Research Part F: Traffic Psychology and Behaviour
language:en
Short-container-title:Transportation Research Part F: Traffic Psychology and Behaviour

Author:

Naujoks Frederik,Wiedemann Katharina,Schömig Nadja,Hergeth Sebastian,Keinath Andreas

Publisher

Elsevier BV

Subject

Applied Psychology,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference101 articles.

1. Alliance of Automobile Manufacturers (2006). Statement of principles, criteria and verification procedures on driver interactions with advanced in-vehicle information and communication systems.

2. What's in a name: Vehicle technology branding & consumer expectations for automation;Abraham,2017

3. AdaptIVe Consortium, 2017. Final functional human factors recommendations (D3.3).

4. The effects of a mobile telephone task on driver behaviour in a car following situation;Alm;Accident Analysis & Prevention,1995

5. Is partially automated driving a bad idea? Observations from an on-road study;Banks;Applied Ergonomics,2018

Cited by 73 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. Modeling risk potential fields for mandatory lane changes in intelligent connected vehicle environment;Expert Systems with Applications;2024-12

2. Who is performing the driving tasks after interventions? Investigating drivers' understanding of mode transition logic in automated vehicles;Applied Ergonomics;2024-11

3. Automated Driving System HMIs: “Clear and Unambiguous”?;Proceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications;2024-09-11

4. Attentional warnings caused by driver monitoring systems: How often do they appear and how well are they understood?;Accident Analysis & Prevention;2024-09

5. TimelyTale: A Multimodal Dataset Approach to Assessing Passengers' Explanation Demands in Highly Automated Vehicles;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2024-08-22