What Can Be Learned From Couple Research: Examining Emotional Co-Regulation Processes in Face-to-Face Interactions.
A crucial component of successful counseling and psychotherapy is the dyadic emotion co-regulation process between patient and therapist that unfolds moment to moment during therapy sessions. The major reason for the disappointing progress in understanding this process is the lack of appropriate met...
| Publicado en: | Journal of Counseling Psychology Vol. 67; no. 4; pp. 475 - 488 |
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| Autores principales: | , , , , , , |
| Formato: | Artículo |
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American Psychological Association
Jul2020
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=144459351&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 144459351 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00220167 JCP jtl: Journal of Counseling Psychology issn: 00220167 maglogo: N pubinfo: dt: Jul2020 vid: 67 iid: 4 pid: 34 pub: American Psychological Association artinfo: ui: 144459351 10.1037/cou0000416 ppf: 475 ppct: 13 formats: tig: atl: What Can Be Learned From Couple Research: Examining Emotional Co-Regulation Processes in Face-to-Face Interactions. aug: au: Hilpert, Peter Brick, Timothy R. Flückiger, Christoph Vowels, Matthew J. Ceulemans, Eva Kuppens, Peter Sels, Laura affil: School of Psychology, University of Surrey Department of Psychology, Pennsylvania State University Department of Psychology, University of Zurich Department of Psychology, University of Leuven su: Emotions Patient-professional relations Medical research Self-control Self-evaluation Self-management (Psychology) Retrospective studies Couples therapy Conceptual structures Video recording Structural equation modeling sug: subj: Emotions Patient-professional relations Medical research Self-control Self-evaluation Self-management (Psychology) Retrospective studies Couples therapy Research and Development in the Physical, Engineering, and Life Sciences (except Biotechnology) Conceptual structures Video recording Structural equation modeling keyword: computational psychology dyadic process dynamical systems modeling in-session behaviors latent differential equation modeling computational psychology dyadic process dynamical systems modeling in-session behaviors latent differential equation modeling ab: A crucial component of successful counseling and psychotherapy is the dyadic emotion co-regulation process between patient and therapist that unfolds moment to moment during therapy sessions. The major reason for the disappointing progress in understanding this process is the lack of appropriate methods to assess subjectively experienced emotions continuously during therapy sessions without disturbing the natural flow of the interaction. The resulting inability has forced the field to focus on patients' overall emotion ratings at the end of each session with limited predictive value of the dyadic interplay between patient and therapist's emotional states within each session. The current tutorial demonstrates how couple research—confronted with a comparable problem—has overcome this issue by (i) developing a video-based retrospective self-report assessment method for individuals' continuous state emotions without undermining the dyadic interaction and (ii) using a validated statistical tool to analyze the dynamical process during a dyadic interaction. We show how to assess emotion data continuously, and how to unravel self-regulation and co-regulation processes using a Latent Differential Equation Modeling approach. Finally, we discuss how this approach can be applied in counseling psychology and psychotherapy to test basic theoretical assumptions about the co-creation of emotions despite the conceptual differences between couple dyads and therapist-patient dyads. The present method aims to inspire future research activities examining systematic real-time processes between patients and therapists. Public Significance Statement: The current tutorial presents a method (i) to assess continuous emotions retrospectively and (ii) to examine dynamic emotion regulation processes between patients and therapists during psychotherapy sessions. Such a method gives clients an explicit voice at a moment-to-moment level, allows future research to examine novel research questions, can be used as an educational tool for therapy trainings, and has the potential to enhance our understanding of psychotherapeutic treatments when combined with computational systems that can recognize, interpret, and process human emotions (i.e., affective computing). pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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