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 2765
Special Issue Editors
Interests: human–automation interaction; surface transportation safety; driving simulation; driver training; visual attention
Interests: automated driving; road user safety; warning systems design; driving simulation; human-centered artificial intelligence
Special Issues, Collections and Topics in MDPI journals
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 YamaniProf. Dr. Siby Samuel
Prof. Dr. Makoto Itoh
Guest Editors
Manuscript Submission Information
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Keywords
- Trust in automation
- Technology acceptance
- Mental model
- Human-automation interaction
- Measurement of trust
- Automated driving
- Connected/intelligent vehicle technologies
- Social and cultural differences
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