Cooperative Intelligence in Automated Driving- 2nd Edition

Dear Colleagues,

Our previous Special Issue on “Cooperative Intelligence in Automated Driving” (https://www.mdpi.com/journal/mti/special_issues/Driving), published in a 2022 volume of MTI, was a great success. We were able to publish several research and review articles therein.

Since then, you might have completed new works that fit into this Special Issue, and we wanted to give you the space to present your work to a broad audience. That is why we decided to present a follow-up Special Issue of "Cooperative Intelligence in Automated Driving" for the year 2023.

Although the research field of automated driving has experienced a major surge in development in recent years, major challenges remain unsolved. The legal framework for the operation of automated vehicles has been established in most areas. A high level of usability and good user experience continue to require new and innovative solutions to lead to widespread public acceptance and thus drive the adoption of automated vehicles. The UX/UI and human factors community is facing the challenge of exploring human-centric solutions, with the goal of making automated driving a successful reality.

With this Special Issue and its scientific research papers, we would like to highlight research problems related to human interactions with automated vehicles and automated driving, drawing on fields such as human–computer interaction, human factors, and interaction design. We want to show how good system design, well-defined interfaces, aligned UI design principles, evaluation methods, and user experience metrics can help to engage the user and thus create enticing and successful automated driving products.

We encourage researchers and practitioners from academia and industry to submit novel (unpublished, according to the journal specifications/regulations) contributions. We are soliciting original research contributions on the following topics of interest:

• HCXAI for automotive applications: e.g., “black boxes” representing artificial intelligence are starting to make safety-critical driving decisions, but what needs to be explained to the users to understand and trust these decisions (e.g., transparent displays), and how and when should this be done?
• Engagement, situation/mode awareness: e.g., as drivers are free from the driving task, what level of engagement in the driving task is still required? What level of situation/mode awareness is needed? How can this be maintained, measured, etc.?
• Trust in future mobility.
• Design for marginal groups: e.g., how can we ensure marginal groups, such as users with disabilities, have user-friendly access to novel mobility technologies without being marginalized and/or patronized?
• In-vehicle intelligent agents: what novel functions, modalities, and interactions with intelligent agents meet end-user needs and wants in the automated driving context?
• Emotional experiences and well-being in automated driving.
• Augmented perception and cognition (HUDs, ambient display, sonification, olfactory displays, etc.)
• Forms of cooperation:
1. AVs cooperating with other AVs;
2. AVs cooperating (communicating) with external humans (VRUs/other drivers);
3. AVs cooperating with their users (driver/passengers).
• Novel methods/tools, in particular, those focusing on human interactions with AVs.

Facts & Figures:

• Abstract/title submission deadline: 17 November 2023 (optional)
• Manuscript deadline: 20 December 2023

All deadlines are AoE (anywhere on earth) for the date shown.

Prof. Dr. Andreas Riener
Dr. Myounghoon Jeon (Philart)
Dr. Ronald Schroeter
Guest Editors

Manuscript Submission Information

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