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