Artificial companions are under development by space agencies worldwide to assist astronauts during extended journeys, address space-induced mental health issues, and alleviate feelings of isolation.
As stated by Alexandra Whitmire, a NASA Human Factors and Behavioral Performance group professor, the challenges of deep space travel differ significantly from those encountered in orbit due to the extended duration of missions. The distance to Mars, for example, necessitates missions lasting approximately 2.5 years.
The Crew Interactive Mobile Companion (CIMON), a sphere-shaped AI partner, is overseen by Till Eisenberg, the director of Airbus Defence and Space’s Crew Interactive Mobile Companion project. This AI tool has the potential to enhance the mental well-being and productivity of astronauts on missions to Mars.
NASA and the European Space Agency (ESA) have explored the benefits of AI-driven companions for astronauts. CIMON, introduced by ESA in 2018, assists astronauts aboard the ISS with research tasks and provides emotional support through interactions and responses to voice commands.
While science fiction often portrays advanced AI systems, Whitmire emphasizes the need for further research before implementing AI as a cognitive health solution. Understanding the potential benefits, drawbacks, and strategies for integrating AI support into missions is crucial for enhancing crew well-being during extended space travel.
Apart from aiding in identifying UFOs and mitigating solar wind effects, NASA and other agencies have utilized AI technology for various space-related tasks. Projects like the Epsilon aircraft, developed by Japan’s space agency JAXA, demonstrate the advancements in AI-driven space exploration.
Funding from agencies like the French Space Agency, UK storage company, and Italian Space company has supported artificial intelligence projects. However, Whitmire stresses the importance of maintaining a human-centric approach to supporting astronauts’ mental health, while acknowledging the potential for AI to enhance diagnostics and measurements.
