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Towards Adaptive External Communication in Autonomous Vehicles: A Conceptual Design Framework

Published: August 17, 2025 | arXiv ID: 2508.12518v1

By: Tram Thi Minh Tran , Judy Kay , Stewart Worrall and more

Potential Business Impact:

Cars will talk to people outside better.

External Human-Machine Interfaces (eHMIs) are key to facilitating interaction between autonomous vehicles and external road actors, yet most remain reactive and do not account for scalability and inclusivity. This paper introduces a conceptual design framework for adaptive eHMIs-interfaces that dynamically adjust communication as road actors vary and context shifts. Using the cyber-physical system as a structuring lens, the framework comprises three layers: Input (what the system detects), Processing (how the system decides), and Output (how the system communicates). Developed through theory-led abstraction and expert discussion, the framework helps researchers and designers think systematically about adaptive eHMIs and provides a structured tool to design, analyse, and assess adaptive communication strategies. We show how such systems may resolve longstanding limitations in eHMI research while raising new ethical and technical considerations.

Country of Origin
🇦🇺 Australia

Page Count
7 pages

Category
Computer Science:
Human-Computer Interaction