Role of Trust and Technology Acceptance on Automated/Connected/Intelligent Vehicles

A special issue of Safety (ISSN 2313-576X).

Deadline for manuscript submissions: closed (20 November 2021) | Viewed by 2711

Special Issue Editors


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Guest Editor
Department of Psychology, 346X Mills Godwin Building, Old Dominion University, 5115 Hampton Boulevard, Norfolk, VA 23529, USA
Interests: human–automation interaction; surface transportation safety; driving simulation; driver training; visual attention

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Guest Editor
Department of Systems Design Engineering, University of Waterloo, 200 University Avenue West, Waterloo, ON, Canada
Interests: automated driving; road user safety; warning systems design; driving simulation; human-centered artificial intelligence
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Faculty of Engineering, Information and Systems, University of Tsukuba, 1-1-1 Tenno-dai, Tsukuba, Ibaraki 305-8573, Japan
Interests: human-centered automation; shared control; safety; reliability; education and training

Special Issue Information

Dear Colleagues,

Recent advances in automated technologies have made some levels of automated driving possible, and the development of automated, connected, and intelligent driving technologies is increasing in our transportation systems. Such emerging transportation technologies are expected to have positive impacts on the safety of drivers and vulnerable road users, traffic efficiency, and economy. In response, the fields of transportation safety and human factors have seen a burgeoning number of works concerning interactions between human drivers and conditionally or fully automated vehicles.

In this context of active research concerning automated driving technologies, it is critical to consider the roles of trust and acceptance on these novel technologies that concern transportation safety at both the micro (e.g., individual drivers) and macro (e.g., social and cultural differences) levels. Furthermore, understanding how these factors influence the behaviors and performance of drivers, pedestrians, and other road users may provide insights into how the current and future innovations in automated driving systems research should be implemented in future societies.

This Special Issue will offer researchers and professionals in surface transportation safety an opportunity to present their latest findings on human–automation interaction and trust within the realm of automated driving, user attitudes and trust of automated driving technologies, studies exploring empirical measurement of trust in automated vehicles, and research exploring the design of technologies to support trust and acceptance in automated driving. Types of manuscript submissions welcomed include articles focused on theoretical and conceptual frameworks, systematic review articles, and original research submissions.

Prof. Dr. Yusuke Yamani
Prof. Dr. Siby Samuel
Prof. Dr. Makoto Itoh
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. Safety is an international peer-reviewed open access quarterly 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 1800 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

  • Trust in automation 
  • Technology acceptance 
  • Mental model 
  • Human-automation interaction 
  • Measurement of trust 
  • Automated driving
  • Connected/intelligent vehicle technologies 
  • Social and cultural differences

Published Papers

There is no accepted submissions to this special issue at this moment.
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