Gravity-Awareness: Deep Learning Models and LLM Simulation of Human Awareness in Altered Gravity
arXiv:2511.05536v2 Announce Type: replace-cross Abstract: Earth s gravity fundamentally shapes human behaviour. The brain encodes this force as an internal model of gravity, enabling the prediction and interpretation of gravitational effects during perception and action. Understanding how this model adapts to altered gravity is critical for predicting human performance in spaceflight. We present a computational framework for modelling neurophysiological adaptation across diverse gravitational environments. The framework has two components trained on open-access data from altered-gravity studie
The increasing focus on long-duration space missions and off-world habitation necessitates a deeper understanding of human adaptation to altered gravity, which AI is now advanced enough to model effectively.
This research is critical for predicting human performance and well-being in spaceflight, impacting mission design, astronaut training, and the development of future space infrastructure.
Our ability to computationally model neurophysiological adaptation to altered gravity improves, moving beyond solely empirical observation to predictive AI frameworks.
- · Space agencies
- · Aerospace industry
- · AI researchers in computational neuroscience
- · Space medicine
Improved astronaut safety and operational efficiency for long-duration space missions.
Potential for AI-driven personalized countermeasure development for space travelers to mitigate microgravity effects.
Long-term designs for extraterrestrial habitats and off-world infrastructure becoming more optimized for human physiology.
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Read at arXiv cs.LG