Modeling Motion Dynamics in Psychotherapy: a Dynamical Systems Approach
Abstract
This study introduces a novel mechanistic modeling and statistical framework for analyzing motion energy dynamics within psychotherapy sessions. We transform raw motion energy data into an interpretable narrative of therapist-patient interactions, thereby revealing unique insights into the nature of these dynamics. Our methodology is established through three detailed case studies, each shedding light on the complexities of dyadic interactions. A key component of our approach is an analysis spanning four years of one therapist's sessions, allowing us to distinguish between trait-like and state-like dynamics. This research represents a significant advancement in the quantitative understanding of motion dynamics in psychotherapy, with the potential to substantially influence both future research and therapeutic practice.
Keywords
Cite
@article{arxiv.2307.10992,
title = {Modeling Motion Dynamics in Psychotherapy: a Dynamical Systems Approach},
author = {Itai Dattner},
journal= {arXiv preprint arXiv:2307.10992},
year = {2023}
}