{"ID":2881538,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2508.12518","arxiv_id":"2508.12518","title":"Towards Adaptive External Communication in Autonomous Vehicles: A Conceptual Design Framework","abstract":"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.","short_abstract":"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 commu...","url_abs":"https://arxiv.org/abs/2508.12518","url_pdf":"https://arxiv.org/pdf/2508.12518v1","authors":"[\"Tram Thi Minh Tran\",\"Judy Kay\",\"Stewart Worrall\",\"Marius Hoggenmueller\",\"Callum Parker\",\"Xinyan Yu\",\"Julie Stephany Berrio Perez\",\"Mao Shan\",\"Martin Tomitsch\"]","published":"2025-08-17T22:51:27Z","proceeding":"cs.HC","tasks":"[\"cs.HC\"]","methods":"[]","has_code":false}