A Novel Adaptive n-Valued Neutrosophic Logic Model for  Emotion-Sensitive Interaction Design in Virtual Reality Art

Silin Tan

Authors

Silin Tan Department of Intelligent Transportation, Hunan Vocational College of Electronic and Technology, Changsha, Hunan, 410000, China

Keywords:

Adaptive Logic, n-Valued Neutrosophic Logic, Indeterminacy Modeling, Context-Aware Reasoning, Virtual Reality Interaction, Emotional Ambiguity, Interaction Design, Multivariate Logic, Behavioral Signal Fusion.

Abstract

- In this work, we introduce a mathematically rigorous and contextually dynamic
extension of neutrosophic logic termed Adaptive n-Valued Neutrosophic Logic (n
ANL)—to address the inherent uncertainty and emotional ambiguity in interactive virtual
reality (VR) art systems. Unlike classical or refined neutrosophic logic, our model
incorporates adaptive, context-aware functions for truth (T), indeterminacy (I), and falsity
(F), all defined as parametric functions of environmental, temporal, and behavioral
context. We define new formulations for neutrosophic conjunction (adaptive n-norm) and
disjunction (adaptive n-conorm), extendable to any dimensional context space, and
supported by precise weighting functions that allow real-time behavioral tuning. Through
analytical derivation and application to a high-ambiguity VR case study, we demonstrate
the model’s superiority in interpreting non-binary, emotion-sensitive human signals. Our
approach offers a novel logic framework with robust interpretive power and practical
implementability, ideal for high-complexity interaction systems where traditional logic
fails.

DOI: 10.5281/zenodo.15514429