Collaborative System Usability in Spaceflight Analog Environments through Remote Observations

Abstract

The conventional design cycle in human–computer interaction faces significant challenges when applied to users in isolated settings, such as astronauts in extreme environments. Challenges include obtaining user feedback and effectively tracking human–software/human–human dynamics during system interactions. This study addresses these issues by exploring the potential of remote conversation analysis to validate the usability of collaborative technology, supplemented with a traditional post hoc survey approach. Specifically, we evaluate an integrated timeline software tool used in NASA’s Human Exploration Research Analog. Our findings indicate that voice recordings, which focus on the topical content of intra-crew speech, can serve as non-intrusive metrics for essential dynamics in human–machine interactions. The results emphasize the collaborative nature of the self-scheduling process and suggest that tracking conversations may serve as a viable proxy for assessing workload in remote environments.