Towards Adaptive External Communication in Autonomous Vehicles: A Conceptual Design Framework
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arXiv
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| Main Authors: | , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866916904812150784 |
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| author | Tran, Tram Thi Minh Kay, Judy Worrall, Stewart Hoggenmueller, Marius Parker, Callum Yu, Xinyan Perez, Julie Stephany Berrio Shan, Mao Tomitsch, Martin |
| author_facet | Tran, Tram Thi Minh Kay, Judy Worrall, Stewart Hoggenmueller, Marius Parker, Callum Yu, Xinyan Perez, Julie Stephany Berrio Shan, Mao Tomitsch, Martin |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_12518 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Towards Adaptive External Communication in Autonomous Vehicles: A Conceptual Design Framework Tran, Tram Thi Minh Kay, Judy Worrall, Stewart Hoggenmueller, Marius Parker, Callum Yu, Xinyan Perez, Julie Stephany Berrio Shan, Mao Tomitsch, Martin Human-Computer Interaction 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. |
| title | Towards Adaptive External Communication in Autonomous Vehicles: A Conceptual Design Framework |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2508.12518 |