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)
Study at a glance
AI-extracted from the abstract| Characteristics | Prototype description Peer reviewed |
|---|---|
| Interventions | pre-sleep cognitive training external stimuli |
| Topics | Lucid dreaming |
| Key points | 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.
Citations in the library
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