LuciEntry: A Modular Lab-Based Lucid Dream Induction Prototype
P. Wang, Nathaniel Yung Xiang Lee, Rohit Rajesh, Antony Smith Loose, N. Semertzidis, Florian ‘Floyd’ Mueller
CHI Extended Abstracts May 11, 2024 DOI: 10.1145/3613905.3649123 (opens in new tab) via Semantic Scholar
Summary
AI-generated from the abstractLucid dreaming—a state where dreamers can control their dreams—offers mental and physical health benefits. Current research combining induction techniques often requires lab settings and manual monitoring. A prototype called LuciEntry includes a mobile app for pre-sleep cognitive training and an automated system that assesses sleep stages and triggers external stimuli to induce lucid dreams. This modular autonomous system aims to improve research into lucid dreaming.
Study at a glance
| Characteristics | Prototype description Peer reviewed |
|---|---|
| Interventions | pre-sleep cognitive training external stimuli |
| Keywords | Computer science Psychology |
| Key finding | LuciEntry is a prototype that integrates a mobile app for pre-sleep cognitive training with an automated system to induce lucid dreams. |
Abstract
Lucid Dreaming, a unique state of consciousness whilst asleep where dreamers can engage in volitional actions not limited by the constraints of the physical world and control their dream contents, offers various mental and physical health benefits. Current research combining multiple lucid dreaming induction techniques is often conducted in a lab setting, lacking autonomy by relying on researchers to monitor manually. Recent studies also advocate for a modular system that can integrate multiple lucid dreaming induction techniques. We present LuciEntry, a prototype that includes a mobile app that guides users through pre-sleep cognitive training and a system that assesses the user’s sleep stage and triggers the external stimuli automatically to induce lucid dreams. We hope that this modular autonomous system will improve the research process, aiding in further research into lucid dreams.