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Noetic Dream: A Personalized VR and Meditation System for Lucid Dream Training

Yichen Yu, Qiaoran Wang

UIST Adjunct September 27, 2025 DOI: 10.1145/3746058.3758424 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Proposal or system description Peer reviewed
Topics Lucid dreaming Meditation
Key points A personalized VR and meditation training system may increase the probability of spontaneous lucid dreaming.

Abstract

Lucid dreaming relies on a high level of metacognition and requires significant time and effort to master induction techniques, presenting obstacles for those seeking such experiences. This study proposes a personalized lucid dreaming training system Noetic Dream that combines virtual reality (VR) with open-monitoring(OM) meditation, acting on the mechanism of "dream awareness" through both external and internal pathways. VR provides immersive dream-based games to help users practice identifying unrealistic states, while OM meditation stabilizes internal focus and implants lucid intent. The training cycle uses multimodal cues to help users establish dream recognition mechanisms, thereby increasing the likelihood of lucid dreaming. The contributions of this study include: applying generative language models (LLMs) to construct dream VR scenarios, designing dream anomaly detection game mechanisms to stimulate dream awareness, and integrating OM meditation to achieve a non-invasive lucid dreaming training pathway, thereby effectively increasing the probability of spontaneous lucid dreaming.