
handle: 2078.1/304628
Recent technological and methodological advances at the intersection of space research and human-computer interaction have opened up new opportunities for studying interactions with computer systems in extraterrestrial-like settings. In this context, we address in this paper the challenges of conducting scientific experiments in human-computer interaction within extreme contexts of use by focusing on physical and psychological constraints affecting users, platforms, and environments. We contribute empirical findings from two missions conducted at the Mars Desert Research Station, where we explored the user experience of interacting with computer systems both within the indoor space station habitat and the outdoor Mars analog geological landscape. Drawing from our findings, we highlight the importance of replication, artifact reproducibility in the engineering of interactive computer systems for space research, and the need for more comprehensive conceptual and design frameworks for studying interactions within extreme contexts of use with scientific rigor.
Astronaut-Drone Interaction, User interfaces, User experience, Extreme User Experience, Graphical user interfaces, Space stations, Mars Desert Research Station
Astronaut-Drone Interaction, User interfaces, User experience, Extreme User Experience, Graphical user interfaces, Space stations, Mars Desert Research Station
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
