Kitson, A., DiPaola, S., & Riecke, B. E. (2019, May). Lucid Loop: A Virtual Deep Learning Biofeedback System for Lucid Dreaming Practice. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems Extended Abstracts, Glasgow, UK. ACM: 1-6. doi: 10.1145/3290607.3312952
Lucid dreaming, knowing one is dreaming while dreaming, is an important tool for exploring consciousness and bringing awareness to different aspects of life. We present a proof-of-concept system called Lucid Loop: a virtual reality experience where one can practice lucid awareness via biofeedback. Visuals are creatively generated before your eyes using a deep learning Artificial Intelligence algorithm to emulate the unstable and ambiguous nature of dreams. The virtual environment becomes more lucid or “clear” when the participant’s physiological signals, including brain waves, respiration, and heart rate, indicate focused attention. Lucid Loop enables the virtual embodied experience of practicing lucid dreaming where written descriptions fail. It offers a valuable and novel technique for simulating lucid dreaming without having to be asleep. Future developments will validate the system and evaluate its ability to improve lucidity within the system by detecting and adapting to a participants awareness.
Preprint available here.