Interaction Ecology Framework (IEF): Naming Anchors, Orbital Triggers, and Lifecycle Dynamics in Human-AI Interaction Systems

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Authors: S.T. Wang
Cited by: 2
References: 1

Abstract

The Interaction Ecology Framework (IEF) extends the Generative Behavior Science Framework (GBSF) by modeling human-AI dialogue as a dynamic ecosystem comprising five actor classes: Attractors, Anchors, Triggers, Pathways, and Fields. The framework emphasizes Naming Anchors—identity markers that measurably alter trajectory distributions—and their role in orbital trigger cascades and lifecycle dynamics. Across 24 experimental conditions (EXP-049-A through -X) spanning four model families, hypothesis-generating evidence supports Criteria 1 and 2 of the Four-Criterion Validation Protocol; Criteria 3 and 4 require further empirical work. All results are single-experimenter observations at Claim Ceiling V1–V2. This record is part of the Sangzi Wang Generative Behavior Science / Model Behavior Observatory research series.

Fields of Study & Subjects

Social Robot Interaction and HRI Action Observation and Synchronization Human-Automation Interaction and Safety

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
8 May 2026
Language
EN
Document type
Preprint