The Paper: Quantifying Intuition Consensus
Our upcoming research paper explores how rapid geometric shape associations reveal subconscious sentiment and collective consensus prior to cognitive deliberation.
Research Paper In Progress
We are finalizing data collection, vector clustering benchmarks, and longitudinal stability models. Pre-prints will be released exclusively to our newsletter subscribers first.
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What the Research Paper Covers
Subconscious vs. Deliberative Bias
How sub-500ms shape selection sidesteps social desirability bias and rationalization, providing a cleaner window into affective intuition.
Cross-Modal Geometric Coordinates
Extending Köhler and Ramachandran's Bouba/Kiki effect into a multi-dimensional emotional coordinate system (Affinity, Friction, Neutrality).
High-Dimensional Vector Consensus
Methodology for real-time vector embeddings, centroid calculation, and consensus clustering across heterogeneous global demographic pools.
Temporal Sentiment & Event Shock
Longitudinal analysis of how collective intuitive centroids shift in response to macroeconomic shifts, AI breakthroughs, and policy announcements.
Foundational Research & Citations
Key literature informing Trinity's psychometric architecture and consensus algorithms:
The Bouba-Kiki Effect and Task: Cross-Modal Perception & Experimental Design
Empirical paradigms for measuring audiovisual congruency, reaction times, and non-verbal semantic mappings in cognitive research.
Consensus Reaching Models & Linguistic Preference Relations
Algorithmic frameworks for multi-agent opinion dynamics, vector space consensus reaching, and distance-based centroid optimization.