Zenergy: Designing Taoist-Inspired Transformative Nature Imagery for Everyday Empowerment

Generative AI (Text, Image, Music, Video)Mental Health Apps & Online Support CommunitiesAffective Feedback & Emotion Regulation InterfacesPsychiatrists & PsychotherapistsUI/UX DesignersAI/ML Researchers & Engineers

Paper Title

Zenergy: Designing Taoist-Inspired Transformative Nature Imagery for Everyday Empowerment

Publication Info

  • Topic area: Integration of Taoist-inspired nature imagery into digital meditation for emotional and spiritual empowerment.
  • Keywords: Taoism, transformative nature imagery, meditation, emotional empowerment, generative AI, large language models, well-being technology, spiritual design, guided imagery, digital meditation.

Background and Problem

  • Problem / challenge: Existing nature-based HCI systems treat nature as a passive backdrop for relaxation, overlooking cultural traditions like Taoism that conceptualize nature as an active, transformative force for emotional and spiritual change.
  • Significance: Addressing this gap could provide users with tools for deeper emotional empowerment, spiritual well-being, and personalized inner transformation, accessible through everyday technology.
  • Motivation and related work: Prior HCI research has explored nature-based technologies for stress reduction and emotional regulation, but these systems often lack culturally grounded, agentive models of nature. Taoist practices offer a framework for designing transformative experiences, yet their potential remains underexplored in HCI.

Solution

  • Proposed approach: Zenergy, a mobile application that uses a large language model (LLM) to generate personalized guided meditations grounded in Taoist-inspired transformative nature imagery.
  • Novelty:
    1. Introduction of "transformative nature imagery" as a design lens for psychological empowerment.
    2. Development of a personalized, AI-powered meditation system that dynamically adapts to users' emotional and contextual inputs.
    3. Empirical evaluation of the system's impact on emotional well-being, empowerment, and spiritual experiences.
  • Procedure and key techniques:
    • Users log their emotions and contexts through a text-based check-in.
    • The system generates personalized meditation scripts in three phases: Purification (emotional release), Oneness (connection with nature), and Refresh (renewal and empowerment).
    • Scripts are converted into audio using text-to-speech (TTS) technology, with pauses and background music for a calming experience.
    • The system employs structured prompts and safety rules to ensure culturally sensitive and emotionally attuned outputs.

Results

  • Concrete findings:
    • Significant increases in self-efficacy (pre: 3.44, post: 4.01, p < 0.001), optimism (pre: 2.98, post: 3.55, p < 0.001), and positive emotions (pre: 2.97, post: 3.67, p < 0.001).
    • Decreases in negative emotions (pre: 2.06, post: 1.51, p < 0.001).
    • Enhanced nondual awareness (pre: 4.42, post: 7.25, p < 0.001), awe (pre: 2.98, post: 4.63, p < 0.001), and connectedness with nature (pre: 3.25, post: 5.39, p < 0.001).
  • Advantage over baselines:
    • Personalized, context-aware meditation scripts outperform static, pre-recorded guidance in emotional resonance and user engagement.
    • Integration of Taoist-inspired imagery provides a unique, culturally grounded framework for emotional transformation.
  • Experiments / evaluation:
    • Mixed-method field study with 27 participants (ages 18–47, varied meditation experience) over one week.
    • Quantitative measures included self-efficacy, optimism, emotional experience, nature connectedness, nondual awareness, and awe.
    • Qualitative thematic analysis revealed themes of emotional transformation, empowerment, spiritual transcendence, and AI-mediated personalization.
  • Limitations and future work:
    • Cultural bias due to participant pool from mainland China; broader testing needed for cross-cultural applicability.
    • Short study duration limits assessment of long-term effects.
    • Limited diversity in TTS voices and meditation session lengths; future iterations could offer more customization.
    • Environmental impact of LLM usage; future work should explore energy-efficient models and alternative designs.

Summary

Zenergy is a mobile application that integrates Taoist-inspired transformative nature imagery into personalized guided meditations, leveraging large language models to adapt to users’ emotional states. The system demonstrated significant improvements in self-efficacy, optimism, emotional well-being, and spiritual experiences among participants. By positioning nature as an active, symbolic force for inner transformation, Zenergy offers a novel approach to emotional empowerment and spiritual connection. Future work could explore cross-cultural adaptations, extended session formats, and environmentally sustainable AI implementations.

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https://hci.top/en/papers/chi/222388/2026

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DOI: https://doi.org/10.1145/3772318.3790421
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CHI
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2026
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4 authors
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Generative AI (Text, Image, Music, Video), Mental Health Apps & Online Support Communities, Affective Feedback & Emotion Regulation Interfaces
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Psychiatrists & Psychotherapists, UI/UX Designers, AI/ML Researchers & Engineers
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