The Psychological Mechanisms of Human-Space Interaction: AI-Enabled Spatial Experiments

Chen Chen
Thailand
Xing Yang
Thailand
Kuo Yu-pei
Taiwan
Keywords: Psychological Mechanisms, Virtual Environment, Human Emotions, Red Panda Optimization Finetuned Intelligent Random Forest (RPO-IntelliRF)
Published: May 21, 2025

Abstract

Background and Aim: The psychological mechanisms of human-space interaction are critical for understanding how environmental elements influence human emotions, cognition, and behavior. Previous examinations have investigated the impact of physical space on psychological well-being, but there has been little consideration of the dynamic, real-time adaptation of virtual environments based on individual emotional reactions. The aim is to investigate the effects of artificial intelligence (AI)-enabled spatial experiments on emotional regulation and stress reduction.


Materials and Methods: During this experiment, 500 volunteers were exposed to various virtual locations, including an urban setting, a forest, and a tranquil beach. Participants' emotional reactions were evaluated using biometric sensors and virtual reality (VR). The AI system utilized machine learning (ML) methods, such as the Red Panda Optimization Finetuned Intelligent Random Forest (RPO-IntelliRF), to monitor physiological reactions, including heart rate and skin conductivity, and dynamically adapt the virtual environment accordingly. If stress indicators were detected, the environment was adjusted to a more relaxing setting.


Results: The impact of these real-time modifications was assessed by analyzing changes in emotional state and physiological markers before and after interaction. The findings demonstrated a significant reduction in stress levels when the RPO-IntelliRF method intervened. Furthermore, the model achieved 89% accuracy, 80% precision, 81% recall, and an 87% F1 score in detecting and responding to stress-related indicators. Compared to static environments, participants reported greater relaxation and improved emotional well-being.


Conclusion: These results highlight the potential of AI-enabled spatial experiments for real-time environmental modifications, offering valuable insights into the psychological dynamics of human-space interaction and its implications for mental health enhancement.

Article Details

How to Cite

Chen, C. ., Yang, X., & Yu-pei , K. (2025). The Psychological Mechanisms of Human-Space Interaction: AI-Enabled Spatial Experiments. International Journal of Sociologies and Anthropologies Science Reviews, 5(3), 807–818. https://doi.org/10.60027/ijsasr.2025.7341

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