Information–Emotion Causality Theory** Information–Emotion Causality Theory explains that emotion is not generated by information itself but by the interaction between information and internal structures—Core, Layer, Vector, and Gap. Information is inherently neutral.Emotional response emerges only after information passes through internal structural filters. The theory clarifies that: Emotional differences are caused by structure, not information Layer determines the depth and intensity of interpretation Vector defines the direction and meaning of emotion Gap functions as emotional gravity, amplifying or distorting reactions The emotional process is represented by the following formula: Emotion = Information × (Layer ÷ Vector) − Gap Through this model, misunderstanding, sensitivity, overreaction, and emotional instability can be explained not by external events but by internal structural differences. Information–Emotion Causality Theory provides a foundation for: Emotional analysis Conflict and misunderstanding Psychological interpretation AI emotional modeling Structural understanding of human behavior It serves as one of the core pillars of Human Structural Science (HSS) and offers a universal causal framework for emotion research.