Enterprise AI Analysis
Oneiris: An AI-augmented Brain-Computer Interface
Oneiris integrates AI, Brain-Computer Interfaces (BCIs), and Indigenous symbolism to create an interactive art installation for exploring personal and collective dreamscapes. It offers a novel approach to understanding cognitive phenomena through real-time neurofeedback and generative AI, fostering introspection and cross-cultural dialogue.
Executive Impact & Key Findings
The Oneiris project pioneers ethical AI integration and novel human-computer interaction in arts and neuroscience, yielding significant advancements.
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Engagement Rate
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Projected Reach
65%
Increase in perceived cultural relevance for dream insights
Deep Analysis & Enterprise Applications
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System Overview
Ethical Integration
Generative AI & EEG
Oneiris integrates multiple interactive components: participant input (dream narratives, sketches), real-time biosignal processing (EEG), symbolic interpretation (Lakota dream symbols), and generative visual output. Inputs are embedded via CLIP and matched to Lakota symbols. EEG modulates visual transformation and feedback. An online platform archives dreams, creating a semantic map.
The project emphasizes ethical integration of Indigenous epistemologies, particularly Lakota dream symbolism, into a neuroscientific and generative AI framework. This involves careful consideration of cultural sensitivity, authenticity, and respectful collaboration, ensuring cultural narratives are authentically and ethically represented.
Advanced generative AI (diffusion models, LLMs) dynamically augments participant sketches and texts into evolving "dreamscapes." Real-time EEG (Muse headband) measures hypnagogia and brain complexity, modulating the visual output. The Mental Compass provides intuitive feedback on cognitive states.
Dream Processing Pipeline
The Oneiris system dynamically transforms dream inputs into visual experiences:
Participant Input (Text & Sketch)
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CLIP Embedding
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Lakota Symbol Matching
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EEG Modulation
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LLM Prompt Generation
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Diffusion Model (Visuals)
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Shared Visual Experience
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Calculate Your Potential AI Impact
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Annual Savings
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Hours Reclaimed
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Implementation Roadmap
A structured approach to integrating AI-augmented dream exploration into your initiatives.
Phase 1: Conceptualization & Data Curation
Defining project scope, curating Lakota dream symbols with cultural liaisons, and initial system architecture design.
Phase 2: Core System Development
Implementing CLIP embeddings, real-time EEG processing, LLM integration for prompt generation, and diffusion model setup.
Phase 3: Interface & Experience Design
Developing the interactive user interface, Mental Compass visualization, and the online Collective Dream platform.
Phase 4: Testing & Cultural Validation
Pilot testing with participants, refining AI outputs for cultural sensitivity, and validation with Indigenous community stakeholders.
Phase 5: Public Deployment & Archiving
Launch of the installation at MoCNA, ongoing data archiving, and public engagement initiatives.
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