Date of Award

5-2026

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

Department

Electrical Engineering and Computer Science

First Advisor

Don Platt

Second Advisor

Debbie Carstens

Third Advisor

Heidi Hatfield Edwards

Fourth Advisor

Esther Beltran

Abstract

Current space medical systems rely on continuous Earth-based support. Exploration missions, however, necessitate a paradigm shift toward comprehensive care and crew autonomy. Early integration of diverse expertise along with increased human-centeredness are required to align medical capability, operational constraints, and human performance to increase crew safety and reduce mission risks.

Emerging technologies—including Artificial Intelligence (AI), robotics, and multimodal biomonitoring—create opportunities to design medical systems that enable astronauts to collaborate with agents as cyber–physical–human crews. While trust is a well-recognized pillar of effective medical collaboration on Earth, its systematic integration into the design of onboard medical systems and clinical decision-support interfaces for human spaceflight remains underdeveloped. To overcome barriers to adoption and ensure appropriate reliance in safety-critical contexts, future astronaut–agent medical systems must be designed to support mutual and justifiable trust.

This thesis develops a trust-centered approach to astronaut–agent space medical system design, advancing contributions across three interconnected stages. First, it establishes a transdisciplinary Trust-Centered Framework that embeds trust as an early design driver in medical system development. Second, it develops an empirically grounded taxonomy of mutual astronaut–agent trust factors and introduces Human–Agent Trust Maps as transdisciplinary tools for systematic requirement elicitation. Third, it provides practical insights from the case-study application of the Trust-Aware Scenarios method, translating mutual trust dynamics into concrete trust-related challenges, opportunities, and transdisciplinary recommendations for trust-driven interface and interaction design.

Taken together, this research supports the transition toward crew medical autonomy in long-duration exploration missions, while also providing foundations for systematic consideration of mutual human-agent trust factors in system design

Available for download on Tuesday, May 09, 2028

Share

COinS