The Vision Edge Research Library brings together our published reports, data visuals, and research tools in one place. Each piece is designed to clarify how emerging well-being technologies are being adopted, evaluated, and experienced in real-world settings.
Our research focuses on what works, why it works, and where human-centered approaches matter most.
Research examining the role of artificial intelligence in mental health support, therapy delivery, and emotional well-beingβalongside trust, ethics, and effectiveness.
Featured topics include:
AI therapy vs human therapy models
Hybrid care outcomes
User trust and adoption dynamics
Reports:
AI Therapy vs Human Therapy: Adoption Trends and Effectiveness
β PDF | Visual Highlights
Insights into AI-powered nutrition apps, lifestyle medicine alignment, and the behavioral psychology behind long-term habit change.
Featured topics include:
AI-driven personalization
Nutrition adherence and motivation
Human coaching vs digital guidance
Reports:
The Rise of Personalized Nutrition Apps
β PDF | Visual Highlights
Data-driven analysis of mindfulness programs, employee well-being tools, and organizational adoption across modern workplaces.
Featured topics include:
Mindfulness program effectiveness
Employee trust and engagement
AI-supported vs human-led interventions
Reports:
Mindfulness in the Workplace: Data on What Works
β PDF | Visual Highlights
A curated collection of charts and visual models extracted from Vision Edge research. These visuals highlight key trends, comparisons, and psychological drivers across well-being technologies.
Examples include:
Adoption timelines
Effectiveness comparisons
Trust and engagement metrics
Human vs AI-supported models
Original conceptual models developed by Vision Edge to explain how technology and human factors interact in well-being contexts.
Examples:
The Vision Edge Workplace Mindfulness Model
AI + Human Support Spectrum
Lifestyle Medicine and AI Integration Framework
Practical resources derived from our research, designed for application and reflection.
Includes:
Checklists
Summary guides
Decision frameworks
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Start with a featured report for deep context
Explore visual insights for quick understanding
Use frameworks and toolkits for practical application
All materials are updated as new research becomes available.
Vision Edge research is grounded in:
Evidence-informed sources
Behavioral science principles
Transparency about limitations
A human-centered view of technology adoption
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