,
Oliver Bensch
,
Tommy Nilsson
Creative Commons Attribution 4.0 International license
The Artemis program and upcoming missions to Mars mark a new era of human space exploration that will require new tools to support astronaut autonomy in the absence of real-time communication with Earth. This paper investigates the role of voice-based intelligent personal assistants (IPAs) in future crewed space missions. Through semi-structured interviews with astronauts (n=3) and spaceflight experts (n=12), we identify key user-centered design requirements for IPAs in this uniquely constrained and safety-critical environment. Our thematic analysis reveals core requirements for flexibility, reliability, offline capability, and multimodal interaction. Drawing on these findings, we outline design guidelines for next-generation IPAs and discuss how technologies such as retrieval-augmented generation (RAG), knowledge graphs, and augmented reality should be combined to support flexible, reliable, and multimodal IPAs for future human spaceflight missions.
@InProceedings{bensch_et_al:OASIcs.SpaceCHI.2025.18,
author = {Bensch, Leonie and Bensch, Oliver and Nilsson, Tommy},
title = {{Advancing Intelligent Personal Assistants for Human Spaceflight}},
booktitle = {Advancing Human-Computer Interaction for Space Exploration (SpaceCHI 2025)},
pages = {18:1--18:18},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-95977-384-3},
ISSN = {2190-6807},
year = {2025},
volume = {130},
editor = {Bensch, Leonie and Nilsson, Tommy and Nisser, Martin and Pataranutaporn, Pat and Schmidt, Albrecht and Sumini, Valentina},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SpaceCHI.2025.18},
URN = {urn:nbn:de:0030-drops-240082},
doi = {10.4230/OASIcs.SpaceCHI.2025.18},
annote = {Keywords: Conversational Assistant, Intelligent Personal Assistant, Artificial Intelligence, Astronaut, Human Spaceflight, Generative Pre-Trained Transformer (GPT), Retrieval Augmented Generation (RAG), Knowledge Graphs, Augmented Reality, Voice Assistant, Long Duration Spaceflight}
}