Zenflow: Investigating MR Transitions for Enhancing Sleep and Relaxation

Honorable Mention
Immersion & Presence ResearchSleep & Stress MonitoringAffective Feedback & Emotion Regulation InterfacesPsychiatrists & PsychotherapistsPhysical Therapists & Rehabilitation SpecialistsAthletes & Fitness Enthusiasts

Paper Title

Zenflow: Investigating MR Transitions for Enhancing Sleep and Relaxation

Publication Info

  • Topic area: Mixed Reality (MR) systems for relaxation and sleep enhancement.
  • Keywords: Mixed Reality, relaxation, sleep quality, stress reduction, environmental transition, breathing guidance, co-design, wearable devices, physiological data, therapeutic XR.

Background and Problem

  • Problem / challenge: Traditional relaxation practices like pranayama require discipline, guidance, and quiet environments, which are difficult to sustain in daily life. VR-based relaxation tools often rely on abrupt immersion into virtual environments, which can disrupt presence and meditative processes.
  • Significance: Stress and poor sleep are pervasive health challenges linked to cognitive impairment, cardiovascular risk, and weakened immunity. Accessible and effective relaxation tools are crucial for improving mental and physical well-being.
  • Motivation and related work: Prior work on VR and AR relaxation systems has demonstrated short-term stress reduction but often lacks integration with real-world environments and fails to address the impact of environmental transitions. Co-design with clinical experts remains underexplored in therapeutic XR systems.

Solution

  • Proposed approach: Zenflow, a Mixed Reality (MR) system that gradually transforms the user’s physical surroundings into a calming virtual night-sky environment, paired with breathing guidance and a minimalist virtual agent.
  • Novelty:
    1. Co-design process with pranayama practitioners to inform relaxation system design.
    2. Introduction of gradual environmental transitions to enhance perceptual continuity and relaxation efficacy.
    3. Empirical evidence showing improved sleep and stress outcomes with spatial transition methods.
  • Procedure and key techniques:
    • Co-design workshops with clinical experts to refine environment, virtual guide, and breathing guidance.
    • Development of Zenflow variants: ZF (without spatial transition) and ZFST (with spatial transition).
    • Integration of physiological data collection via Garmin wearables and MR rendering using Meta Quest 3.
    • Gradual ceiling transformation into a starry night sky using custom shaders synchronized with breathing cues.

Results

  • Concrete findings:
    • ZFST significantly improved subjective sleep scores across all subscales (e.g., ease of getting to sleep: Δ = +7.35, p = .0025; quality of sleep: Δ = +8.36, p < .001).
    • Objective stress scores were lower in ZFST compared to Pranayama (Δ = −6.62, p = .032).
    • Longer inter-beat intervals (IBI) during early sleep were observed in ZFST compared to Pranayama (Δ = +41.23 ms, p = .019).
  • Advantage over baselines:
    • ZFST consistently outperformed traditional Pranayama and ZF across subjective and objective metrics, demonstrating the added value of spatial transitions.
  • Experiments / evaluation:
    • Three-week within-subjects study (N=12) with randomized conditions: Pranayama, ZF, and ZFST.
    • Data collection included self-reported questionnaires (PSS-10, LSEQ) and physiological metrics (stress scores, IBI) from Garmin Venu 3s.
    • Linear mixed-effects models used for statistical analysis.
  • Limitations and future work:
    • Small sample size (N=12) and short intervention period (three weeks).
    • Limited generalizability; future studies should involve larger, diverse populations and longer-term adherence.
    • Potential for more precise physiological data using clinical-grade sensors.
    • Exploration of multimodal transitions (e.g., haptic cues) and personalized MR environments.

Summary

Zenflow introduces a Mixed Reality system designed to enhance relaxation and sleep through gradual environmental transitions and breathing guidance. Developed via co-design with pranayama practitioners, the system emphasizes perceptual continuity and therapeutic appropriateness. A three-week study demonstrated that ZFST (Zenflow with spatial transition) significantly improved sleep quality and reduced stress compared to traditional Pranayama and Zenflow without spatial transition. These findings highlight the importance of transition design in immersive relaxation systems and suggest future directions for adaptive and personalized MR therapeutics.

Quick Actions

Share

Share this page

ios_share

https://hci.top/en/papers/chi/222803/2026

AdRecommended

Learn AI Coding at CodeNow

open_in_newOpen DOI Link
DOI: https://doi.org/10.1145/3772318.3791875
At a Glance

Paper Snapshot

fact_check
dataset
Source
CHI
calendar_month
Year
2026
emoji_events
Award
Honorable Mention
group
Authors
6 authors
sell
Subtopics
Immersion & Presence Research, Sleep & Stress Monitoring, Affective Feedback & Emotion Regulation Interfaces
work
Professions
Psychiatrists & Psychotherapists, Physical Therapists & Rehabilitation Specialists, Athletes & Fitness Enthusiasts
article
Content Status
Full text indexed
hub
Related Papers
0 related papers