Neutrosophic Technarrative Architecture: Symbolic–Emotional VR Evaluation Framework

A methodological framework and computational pipeline for evaluating symbolic and emotional responses to virtual architectural spaces. The framework integrates symbolic modeling of concepts like justice and identity with psychophysiological measures and AI-ready computational inference. It was authored by Jesus Rafael Hechavarria-Hernandez and published on figshare in May 2026.

Use Cases

• Develop predictive models of user emotional engagement based on symbolic design variables and biofeedback features.
• Quantify ambiguity and indeterminacy in user responses to architectural spaces using neutrosophic representation.
• Conduct multimodal analysis linking symbolic design intentions with measurable VR experiences via EEG, GSR, and HRV data.
• Generate reproducible methodological blueprints for ethically oriented design research in VR.

Strengths

• The framework provides a structured, four-component pipeline integrating symbolic modeling, VR scenarios, psychophysiological measures, and computational inference.
• It includes open-source Python implementations supporting reproducibility.
• The work formulates testable hypotheses and a foundational research agenda.

Limitations

• The dataset is a 219.3 KB DOCX file describing a framework, not a primary data collection; scope for direct analysis is limited.
• Column-level documentation and sample data are unavailable, making field semantics and data structure unclear.
• Row count is unknown, which may limit suitability assessment for empirical analysis.

Provenance

Source

figshare

Collection Method

The description suggests the dataset contains a conceptual framework and methodological blueprint, likely derived from theoretical research.

Freshness

Last updated 2026-05-13 04:44:53; freshness should be verified.