Interactive Design for Autonomous Driving Vehicles
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electrical and Autonomous Vehicles".
Deadline for manuscript submissions: 15 April 2026 | Viewed by 26
Special Issue Editors
Interests: multimodal interactive design; design education; integrative prototyping for design and manufacturing; design thinking; design for additive manufacturing
Interests: user-centered design of products and services; product/service innovation; human–computer Interaction
Special Issue Information
Dear Colleagues,
Autonomous driving vehicles (ADVs) represent a transformative advancement in intelligent transportation systems, promising enhanced safety, efficiency, and user experience. However, the widespread adoption of ADVs relies not only on technological advancements but also on seamless human–vehicle interaction. This Special Issue, titled "Interactive Design for Autonomous Driving Vehicles," seeks to present cutting-edge research at the intersection of autonomous driving technology, human–computer interaction (HCI), and user-centered design.
In this Special Issue, original research articles and reviews are welcome. Research areas to be covered in this Special Issue may include recent and novel research trends related, but not limited, to the following areas:
- Human–Machine Interfaces (HMIs) for intuitive control and communication between users and autonomous systems.
- User Trust and Acceptance: Studies on how design influences user (driver, passenger, pedestrian, and other users) confidence in autonomous vehicles.
- AI-Driven Personalization: Adaptive interfaces leveraging machine learning to enhance user experience.
- Multimodal Interaction: Vision, voice, gesture, haptic, air flow, virtual reality (VR), and augmented reality (AR) interfaces, as well as mixed sensory interfaces, for ADVs.
- Ethical and Safety Considerations in interactive design, ensuring transparency and user control.
- Simulation and Testing Technologies/Methodologies for evaluating interactive systems in autonomous driving.
- Vehicle Control Systems: High-precision vehicle dynamics control and actuator integration.
- Eco-driving for autonomous cars: Controlling speed, acceleration, and braking in a smooth, predictive way to minimize energy use while maintaining safety and comfort for autonomous cars.
- Path Planning for Autonomous Driving Vehicles: Algorithms and strategies for safe, efficient, and human-like navigation.
- Sensor Fusion and Perception Systems: Advanced multi-sensor fusion algorithms and environmental perception technologies.
This Special Issue aims to foster interdisciplinary collaboration among researchers in automotive engineering, HCI, artificial intelligence, and cognitive science, providing a platform for sharing novel insights that bridge the gap between autonomous technology and human needs. We welcome original research articles, reviews, and case studies that advance the field of interactive design for ADVs.
We look forward to receiving your contributions.
Dr. Bingjian Liu
Prof. Dr. Xu Sun
Dr. Shaofeng Lu
Guest Editors
Manuscript Submission Information
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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. Electronics is an international peer-reviewed open access semimonthly 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
- multimodal interactive design
- human–machine interaction
- autonomous driving vehicles
- artificial intelligence
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