CHI Extended Abstracts
May 11, 2024
P. Wang, Nathaniel Yung Xiang Lee, Rohit Rajesh et al.
A portable system called LuciEntry HOME uses a mobile app for pre-sleep cognitive training and wireless, battery-powered components for external stimulation to induce lucid dreaming autonomously, reducing the need for costly and time-consuming lab-based manual induction by researchers. The system emphasizes portability, modularity, and autonomy, aiming to make lucid dreaming more accessible and to facilitate future research on its applications.
CHI Extended Abstracts
May 11, 2024
P. Wang, Rohit Rajesh, Nathaniel Yung Xiang Lee et al.
Lucid dreaming allows individuals to be aware they are dreaming and sometimes control the dream, offering benefits like entertainment, improved mental well-being, reduced nightmares, skill enhancement, creative inspiration, and problem-solving. However, manipulating dream content is challenging, even for experienced lucid dreamers. DreamCeption is a prototype that uses brain and eye activity sensors to detect lucid dreaming and then provides visual and auditory stimuli to guide the dreamer toward desired content. The system aims to make the benefits of lucid dreaming more accessible. It is expected to interest human-computer interaction researchers in exploring digital lucid dreaming applications.
CHI Extended Abstracts
May 11, 2024
P. Wang, Nathaniel Yung Xiang Lee, Rohit Rajesh et al.
Lucid 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.
CHI Extended Abstracts
May 2, 2024
P. Wang, Nathaniel Yung Xiang Lee, Rohit Rajesh et al.
A new modular autonomous system called LuciEntry combines pre-sleep cognitive training delivered through a mobile app with automatic sleep-stage monitoring and external stimulus triggering to induce lucid dreams, removing the need for researchers to manually activate devices. The system aims to improve research into lucid dreaming by giving users more autonomy and integrating multiple induction techniques into one platform.
CHI Extended Abstracts
May 2, 2019
Alexandra Kitson, S. DiPaola, B. Riecke
Lucid Loop is a proof-of-concept virtual reality system that uses biofeedback and deep-learning AI to simulate the experience of lucid dreaming while awake. The virtual environment becomes visually clearer when the participant's brain waves, respiration, and heart rate indicate focused attention. The authors propose this as a novel technique for practicing lucid awareness without requiring sleep, offering an embodied experience where written descriptions are insufficient. Future work aims to validate the system and evaluate its ability to improve lucidity by detecting and adapting to a participant's awareness.
CHI Extended Abstracts
April 20, 2018
A. Horowitz, Ishaan Grover, Pedro Reynolds-Cuéllar et al.
A new interactive interface called Dormio enables human-machine interaction during hypnagogia, the semi-lucid sleep state at sleep onset. The system is designed to work across levels of consciousness and can direct dream content to augment human creativity. This work opens a window for HCI research into hypnagogia, extending interactive technology into states previously inaccessible.