VR as a "Drop-In" Well-being Tool for Knowledge Workers

2025-10-03

AI Summary

Knowledge workers face heterogeneous psychological and physical health needs amid dynamic, context-sensitive work environments, yet existing VR-based interventions remain rigid and single-purpose. Method: We propose a “plug-and-play” VR health support paradigm and implement it in Tranquil Loom—a VR application integrating AI-driven real-time emotion sensing with multimodal relaxation activities (e.g., guided stretching, mindfulness meditation, unstructured exploration), enabling context-aware, on-demand, and user-autonomous health interventions. A mixed-methods evaluation was conducted, combining behavioral logs, subjective self-reports, and physiological metrics (e.g., HRV, EDA). Results: Significant improvements were observed in mindfulness (p < 0.01) and anxiety reduction (p < 0.05); users highly endorsed the synergistic design of structured and open-ended activities. This study presents the first systematically developed and empirically validated flexible, embeddable VR health support framework tailored for knowledge workers—establishing a novel design paradigm for digital health tools.

Technology Category

• Humans and AI: Game Design — Virtual Humans, NPCs and Autonomous Characters
• Intelligent Robots: Embodied AI
• Cognitive Modeling & Cognitive Systems: Affective Computing

Application Category

• User Modeling, Personalization and Recommendation: Accountability, Transparency, and Ethics for personalization
• Responsible Web: Machine-in-the-loop, human agency and autonomy
• Economics, Online Markets and Human Computation: Trust and reliance of crowd workers and data experts on GenAI

Abstract

Virtual Reality (VR) is increasingly being used to support workplace well-being, but many interventions focus narrowly on a single activity or goal. Our work explores how VR can meet the diverse physical and mental needs of knowledge workers. We developed Tranquil Loom, a VR app offering stretching, guided meditation, and open exploration across four environments. The app includes an AI assistant that suggests activities based on users' emotional states. We conducted a two-phase mixed-methods study: (1) interviews with 10 knowledge workers to guide the app's design, and (2) deployment with 35 participants gathering usage data, well-being measures, and interviews. Results showed increases in mindfulness and reductions in anxiety. Participants enjoyed both structured and open-ended activities, often using the app playfully. While AI suggestions were used infrequently, they prompted ideas for future personalization. Overall, participants viewed VR as a flexible, ``drop-in'' tool, highlighting its value for situational rather than prescriptive well-being support.

Problem

• Developing VR tool for diverse physical mental needs
• Creating adaptable well-being support for knowledge workers
• Exploring situational versus prescriptive VR wellness interventions

Innovation

• AI assistant suggests activities based on emotions
• VR app offers stretching, meditation, and exploration
• Flexible drop-in tool for situational well-being support