Enterprise AI Analysis
ReHome Earth: A VR-Based Concept Validation for AI-Driven Space Homesickness Interventions
By Mengyao Guo, Kexin Nie, Jinda Han, Guanyou Li, Adrian Wong · 07 March 2026 · Category: Human-Computer Interaction (HCI)
This paper introduces ReHome Earth, a dual-component design for addressing space homesickness through a VR-based concept. It integrates transparent OLED displays with spacecraft windows for real-time Earth connectivity and a functional VR prototype simulating astronaut isolation for testing AI-generated content effectiveness. Validated with 84 proxy participants and 6 HCI experts, the research demonstrates strong emotional resonance and identifies three key design implications: emotional pacing mechanisms, explainable biophysical feedback systems, and evolution from individual tools to collective affective infrastructure. The work contributes a technically feasible space installation concept and a functional VR prototype for space HCI research, offering empirical insights into AI-driven emotional support systems for extreme isolation environments.
Key Research Metrics
Insights from critical data points demonstrating the impact and validity of the research findings.
84
Participants Validated
6
HCI Experts Interviewed
95.4%
Concept Validation Rate
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Emotional Resonance & Authenticity
High User emotional resonance with AI-generated Earth imageryThe study found strong emotional resonance with the ReHome Earth concept, driven by dynamic AI-powered Earth imagery. However, experts raised concerns about maintaining emotional authenticity and preventing over-immersion, highlighting the need for careful calibration to avoid intensifying longing or disorientation in psychologically vulnerable moments.
AI-Driven Intervention Process
User Input (Voice/Gesture)
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AI Image Generation (DALL-E 3)
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Dynamic Image Loading (OLED/VR)
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Real-time Emotional Response
The ReHome Earth system processes user location inputs via speech recognition and manual text entry, generating realistic Earth scenes using OpenAI's ChatGPT API with DALL-E 3 image generation. These images are dynamically loaded onto virtual window surfaces, creating an immersive, emotionally responsive interface.
| Design Principle | Key Features |
|---|---|
| Emotional Pacing |
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| Explainable Biophysical Feedback |
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| Collective Affective Infrastructure |
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Three critical design implications were identified: balancing emotional authenticity with psychological safety through temporal pacing, integrating explainable biophysical feedback for trust and agency, and evolving from individual tools to collective affective infrastructure through shared experiences and privacy controls.
VR as a Research Validation Platform
Recognizing the impossibility of testing with astronauts, the study utilized a comprehensive VR simulation to recreate confined, Earth-disconnected psychological conditions. This functional VR prototype enabled testing AI-generated content effectiveness with proxy users experiencing authentic geographic displacement, addressing a fundamental barrier in space HCI research.
Key Takeaway: VR provides a crucial proxy environment for validating space HCI concepts and AI-driven interventions when direct astronaut access is not feasible.
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