DreamLLM-3D is an immersive art installation that combines a Large Language Model with text-to-3D generative AI to enable dream re-experiencing. It processes voiced dream reports to identify key dream entities, social interactions, and sentiment, then visualizes these as dynamic 3D point clouds where emotional data influences color and soundscapes. The system also proposes an experiential AI-Dreamworker Hybrid paradigm. This approach could potentially facilitate emotionally engaging dream-reliving, enhancing personal insights and creativity.
Flying dreams can evoke feelings of empowerment and self-transcendent experience, which benefit well-being, but such dreams are hard to induce intentionally. Virtual reality (VR) flying interfaces with more embodied self-motion cues better supported self-transcendent experience and empowerment than those with fewer cues. Design considerations derived include obscurity, extraordinary light, and a supportive setting. These findings contribute to guidelines for designing VR experiences that foster self-transcendence and empowerment, potentially applicable to improving mental well-being.