AI-Driven Situated Cognition Interaction Design for Immersive Learning in Virtual Space Tourism
DOI: 10.23977/jaip.2025.080102 | Downloads: 16 | Views: 229
Author(s)
Wen Wen 1, Yao Liu 2, Tianli He 3, Wang Ying 4
Affiliation(s)
1 Graduate School, China Architecture Design & Research Group, Beijing, 100044, China
2 Departmentof Design, Politecnico di Milano, Milan, 20133, Italy
3 Singapore University of Technology and Design (SUTD), 138682, Singapore
4 Cultural Development Institute, Yunnan University, Kunming, Yunnan, 650504, China
Corresponding Author
Wang YingABSTRACT
This study presents an AI-Driven Situated Cognition Interaction Design Model of VR immersive learning context specifically related to virtual space tourism. This research intends to apply to pedagogy through the use of AI-based systems, collaborative engagement, and sustainable learning to close the gap between immersive technology and an educational outcomes. The model proposed emphasizes authentic contexts, real-time interactivity, and self-projection promising a traditional platform for exploiting sustainability challenges of space exploration. The Cabin integrates range sensors, a VR Space Tourism Experience, AI-based life-support systems, high-resolution VR displays, and embodied interaction sensors to create realistic scenarios. User studies showed an increase in users understanding of sustainability concepts, collaborative problem-solving and long-term retention. This study demonstrates how AI can empower designers to imagine and create interactive learning environments that cultivate critical awareness and sustainable behaviors of content for real world challenges.
KEYWORDS
Virtual Reality (VR), Situated Cognition Theory, Space Tourism, AI-driven Interaction Design, Educational TechnologyCITE THIS PAPER
Wen Wen, Yao Liu, Tianli He, Wang Ying, AI-Driven Situated Cognition Interaction Design for Immersive Learning in Virtual Space Tourism. Journal of Artificial Intelligence Practice (2025) Vol. 8: 11-21. DOI: http://dx.doi.org/10.23977/jaip.2025.080102.
REFERENCES
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