Lucid Loop: A Virtual Deep Learning Biofeedback System for Lucid Dreaming Practice

profile

Can a VR deep learning biofeedback help enhance lucid dreaming practice?

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.
lucidloop

Media Gallery

Publications

Kitson, A., DiPaola, S., & Riecke, B. E. (2019). Lucid Loop: A Virtual Deep Learning Biofeedback System for Lucid Dreaming Practice. Project Demo at Interactivity Hot Desk pre­sented at the ACM CHI Conference on Human Factors in Computing Systems, Glasgow, United Kingdom. (Download)
Kitson, A., DiPaola, S., & Riecke, B. E. (2019). 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 (pp. 1–6). Glasgow, United Kingdom: ACM. https://doi.org/10.1145/3290607.3312952 (Download)