Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
2.1
2.6
Journals
Machines
Special Issues
Human-Centered Design and Development of Advanced Driver Assistance Systems
share announcement

Human-Centered Design and Development of Advanced Driver Assistance Systems

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Robotics, Mechatronics and Intelligent Machines".

Deadline for manuscript submissions: 31 May 2024 | Viewed by 1418

Special Issue Editors

Dr. Bo Yang

E-Mail Website
Guest Editor
Institute of Industrial Science, The University of Tokyo, Tokyo 153-8505, Japan
Interests: driver assistance systems; human system interaction; intelligent transport systems
Dr. Zheng Wang

E-Mail Website
Guest Editor
Institute of Industrial Science, The University of Tokyo, Tokyo 153-8505, Japan
Interests: driver assistance systems; human system interaction; intelligent transport systems
Special Issues, Collections and Topics in MDPI journals
Dr. Shuo Cheng

E-Mail Website
Guest Editor
Institute of Industrial Science, The University of Tokyo, Tokyo 153-8505, Japan
Interests: automated vehicles; vehicle dynamics

Special Issue Information

Dear Colleagues,

Statistical data indicate that most road crashes occur due to human errors. Advanced driver assistance systems (ADASs) are therefore proposed and widely applied to assist drivers to prevent potential collisions and maintain driving safety. Through a safe and appropriate human–machine interface, ADASs can offer necessary information and assistances to drivers and can reduce road fatalities by minimizing human errors.

Normally, sensors and cameras are used in ADASs to detect obstacles or human errors. Recently, the development of emerging technologies (including vehicular communications) makes it easier for vehicles to collect surrounding traffic information, and can offer new possibilities to improve the performance of ADASs.

Therefore, it is essential to provide an insight into the trends and challenges of ADASs. This Special Issue aims to cover all the topics related to ADASs, and welcomes both research and review papers. This Special Issue will focus on (but is not be limited to) the following topics:

  • The development and validation of ADASs
  • Driver’s trust in ADASs
  • Human–machine interfaces and interactions
  • Driver monitoring systems
  • Sensor and camera technologies
  • Vehicular communications
  • Emerging technologies that can be applied in ADASs

Dr. Bo Yang
Dr. Zheng Wang
Dr. Shuo Cheng
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Machines is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • advanced driver assistance system
  • driver behaviors
  • intelligent transport systems
  • human-machine interface
  • sensing technology

Published Papers (1 paper)

Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

18 pages, 5149 KiB  
Article
Anthropomorphic Design and Self-Reported Behavioral Trust: The Case of a Virtual Assistant in a Highly Automated Car
by Clarisse Lawson-Guidigbe, Kahina Amokrane-Ferka, Nicolas Louveton, Benoit Leblanc, Virgil Rousseaux and Jean-Marc André
Machines 2023, 11(12), 1087; https://doi.org/10.3390/machines11121087 - 13 Dec 2023
Viewed by 1047
Abstract
The latest advances in car automation present new challenges in vehicle–driver interactions. Indeed, acceptance and adoption of high levels of automation (when full control of the driving task is given to the automated system) are conditioned by human factors such as user trust. [...] Read more.
The latest advances in car automation present new challenges in vehicle–driver interactions. Indeed, acceptance and adoption of high levels of automation (when full control of the driving task is given to the automated system) are conditioned by human factors such as user trust. In this work, we study the impact of anthropomorphic design on user trust in the context of a highly automated car. A virtual assistant was designed using two levels of anthropomorphic design: “voice-only” and “voice with visual appearance”. The visual appearance was a three-dimensional model, integrated as a hologram in the cockpit of a driving simulator. In a driving simulator study, we compared the three interfaces: two versions of the virtual assistant interface and the baseline interface with no anthropomorphic attributes. We measured trust versus perceived anthropomorphism. We also studied the evolution of trust throughout a range of driving scenarios. We finally analyzed participants’ reaction time to takeover request events. We found a significant correlation between perceived anthropomorphism and trust. However, the three interfaces tested did not significantly differentiate in terms of perceived anthropomorphism while trust converged over time across all our measurements. Finally, we found that the anthropomorphic assistant positively impacts reaction time for one takeover request scenario. We discuss methodological issues and implication for design and further research. Full article
(This article belongs to the Special Issue Human-Centered Design and Development of Advanced Driver Assistance Systems)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-1
Back to TopTop