Emotionally Conscious AI (ECAI): UNITE External Validation Workbook (300 Cases) for Independent Formula-vs-Human Emotional Label Comparison

This deposit contains the structured external validation workbook used in support of the research paper Emotionally Conscious Artificial Intelligence (ECAI): A Structural Framework for Cumulative Emotional Modeling in AI Systems Using the Unified Theory of Emotions. It provides a 300-case researcher-facing validation dataset and workbook designed to test, demonstrate, and independently inspect the practical application of the Unified Theory of Emotions (UNITE) within an AI-relevant emotional inference framework.The workbook is intended as a standalone validation artifact that can be used by independent researchers, peer reviewers, or external AI systems without requiring a separate software application. For each of the 300 case studies, the workbook presents a structured scenario and allows the evaluator to assign an emotional label through a constrained seven-level dropdown selection field. The evaluator’s label is then compared against the pre-filled formula-derived output generated under the UNITE framework.A key design feature of this deposit is that the workbook does not merely present final emotional labels. It is structured to make the formula pathway inspectable. It includes pre-formula interpretive labeling, formula-relevant component fields, the formula-side output using the same wording standard as the evaluator-facing dropdown, and automated comparison logic so that exact label match, directional agreement, and mismatch can be examined transparently. This makes the deposit useful not only as a results sheet, but as a reproducible validation instrument demonstrating that the final emotional label is not assigned by ad hoc human intuition alone, but is linked to a structured formula-based methodology.The workbook is especially relevant to the ECAI paper because it operationalizes the central claim that actual user emotion in AI interaction should be inferred from cumulative relational structure rather than from surface-level sentiment, facial expression, or other momentary signals alone. In that sense, this deposit functions as a practical validation companion to the ECAI framework and as an applied researcher-facing extension of the broader UNITE theory.The deposit package includes:The full Excel workbook containing the 300-case validation dataset and interactive comparison structure.A documentation file explaining the purpose of the workbook, its methodological role, and its relationship to the associated ECAI and UNITE papers.This deposit may be cited as a supporting research artifact for the ECAI framework, especially in contexts involving external validation, formula-vs-human emotional labeling comparison, AI-assisted independent review, and structured demonstrations of the UNITE methodology in cumulative emotional modeling.