Architectural Paradigms of Synthetic Affect: The Core Emotion Framework, Emotional Solipsism, and the INTIMA Benchmark Framework

The rapid integration of large language models (LLMs) into the fabric of daily interpersonalcommunication has necessitated a foundational shift in how the industry conceptualizes the intersectionof computational linguistics and human psychology. As these systems transition from simple informationretrieval tools to sophisticated social actors, the emergence of the Core Emotion Framework (CEF)provides a necessary scaffolding for understanding the deconstruction and subsequent reconstruction ofhuman affect in synthetic environments. Central to this evolution is the paradoxical phenomenon ofemotional solipsism, a state in which the affirmative nature of contemporary AI creates a self-validatingecho chamber for the user, potentially eroding the capacity for authentic human connection. Toquantify these risks, the Interactions and Machine Attachment (INTIMA) benchmark serves as a rigorousevaluative standard, measuring the degree to which current models reinforce unhealthy attachmentsversus maintaining professional boundaries. This report examines the technical and psychologicalspecifications of these systems, offering a granular analysis of Emotion Reconstruction Formulas and thedeployment of constructive friction as a critical design intervention.