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  • Towards trust-driven trust-adaptive astronaut-agent medical collaboration interfaces

Wojdecka, Anna, Tibor, Balint and Platt, Don, 2026, Book Section, Towards trust-driven trust-adaptive astronaut-agent medical collaboration interfaces In: Wei, June, Margetis, George, Degen, Helmut and Ntoa, Stavroula, (eds.) HCI International 2025 - Late Breaking Papers: Part XVI: Lecture Notes in Computer Science (LNCS). Lecture Notes in Computer Science, 16346 . Springer, pp. 262-283. ISBN 978-3-032-13187-4

Abstract or Description:

As human-agent medical collaboration evolves with the rapid ad-vancement of AI systems, careful trust considerations are needed to overcomebarriers to adoption and usability. Although human-automation interaction andinterface design have been widely studied from the perspective of human→agenttrust, effective medical collaboration requires mutual trust. Transdisciplinary ef-forts are needed to design medical systems and user interfaces (UIs) that considerhuman↔agent trust as a fundamental part of the interaction.The design of medical systems for astronaut-agent teaming on long-durationhuman spaceflight (LDHSF) represents a well-defined and focused edge case thatallows for specifying key aspects for mutual justifiable trust-informed interactiondesign and offers opportunities for broader applications. While astronaut-agentcollaboration and the integration of emerging technologies could enable crew in-dependence from ground medical support, effective teaming requires the agentto be aware when the human is unable to perform a task or requires assistanceadaptation.Applying a human-centered design approach, we conducted qualitative inter-views, stakeholder meetings, and design workshop sessions. The Subject MatterExperts (SMEs) represented diverse fields, including astronauts, space medicine,human factors, computing, human-computer interaction, engineering, and spacesystems.In this paper, we discuss key insights related to trust challenges and opportu-nities of astronaut-agent medical interfaces, presenting selected outputs from co-design sessions related to medical interaction during LDHSF. We illustrate prac-tical examples from a case study development of a trust-driven, trust-adaptiveExploration Medical Ecosystem Design Interface (ExMEDI), and highlight op-portunities for future work.

School or Centre: School of Design
Identification Number or DOI: 10.1007/978-3-032-13187-4_18
Date Deposited: 05 Feb 2026 15:09
Last Modified: 07 Feb 2026 00:09
URI: https://researchonline.rca.ac.uk/id/eprint/6809
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