A general model of conversational dynamics and an example application in serious illness communication.

ABSTRACT: Conversation has been a primary means for the exchange of information since ancient times. Understanding patterns of information flow in conversations is a critical step in assessing and improving communication quality. In this paper, we describe COnversational DYnamics Model (CODYM) analysis, a novel approach for studying patterns of information flow in conversations. CODYMs are Markov Models that capture sequential dependencies in the lengths of speaker turns. The proposed method is automated and scalable, and preserves the privacy of the conversational participants. The primary function of CODYM analysis is to quantify and visualize patterns of information flow, concisely summarized over sequential turns from one or more conversations. Our approach is general and complements existing me

SUBMITTER: Clarfeld LA 

PROVIDER: S-EPMC8248661 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature