Systematic survey examines generative AI integration in immersive environments, highlighting the need for human-centered multimodal interaction and ethics.
Key Points
Synthesize current developments in the integration of generative artificial intelligence and human-AI interaction within immersive environments to define future research priorities.
Conducted a systematic survey analyzing the convergence and divergence of generative artificial intelligence and human-AI interaction frameworks in interactive computing.
Evaluated interactions across experiential, educational, and epistemic dimensions structured around user intent, AI processing, and iterative user engagement.
Identified that user experience in immersive environments depends on the balance of presence, engagement, and personal agency alongside trust, transparency, and explainability.
Established research and development priorities across real-time computational performance, multimodal interaction architectures, dataset diversity, and algorithmic ethics.