The Structuring of the Self Through Relational Patterns of Movement Using Data from the Microsoft Kinect 2 to Study Baby-Caregiver Interaction

Sarno, Alfonso Davide Di; Longobardi, Teresa; Moretto, Enrico; Leva, Giuseppina Di; Fabbricino, Irene; Mosca, Lucia Luciana; Cioffi, Valeria; Sperandeo, Raffaele

doi:10.1007/978-981-15-5093-5_48

Cited by 1 publication

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“…In fact, some research, which is studying, for example, the characteristics of empathy in both distance and presence-based psychotherapy, has considered it a desirable frontier to be able to measure the psychophysiological variables of the patient and therapist in order to verify their attunement [47]. Other studies, starting from the concept that the observation of movement in human beings (such as gestures and actions performed in the relational context) allows us to detect the most significant and evident expression of the complexity of a relationship, have also offered interesting insights by exploring the motor aspects of certain dyads [63]. For this reason, it was deemed interesting to include some studies that reconstructed a computational framework for constructing interactive feedback for assisting motor learning, as they could give interesting insights to study and analyse those kinds of psychotherapeutic interactions based on phenomenological leaning or who base their interventions on the philosophical principles of enactivism and the embodied mind [64].…”

Section: Discussionmentioning

confidence: 99%

Computational Methods in Psychotherapy: A Scoping Review

Cioffi¹,

Mosca²,

Moretto³

et al. 2022

IJERPH

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Background: The study of complex systems, such as the psychotherapeutic encounter, transcends the mechanistic and reductionist methods for describing linear processes and needs suitable approaches to describe probabilistic and scarcely predictable phenomena. Objective: The present study undertakes a scoping review of research on the computational methods in psychotherapy to gather new developments in this field and to better understand the phenomena occurring in psychotherapeutic interactions as well as in human interaction more generally. Design: Online databases were used to identify papers published 2011–2022, from which we selected 18 publications from different resources, selected according to criteria established in advance and described in the text. A flow chart and a summary table of the articles consulted have been created. Results: The majority of publications (44.4%) reported combined computational and experimental approaches, so we grouped the studies according to the types of computational methods used. All but one of the studies collected measured data. All the studies confirmed the usefulness of predictive and learning models in the study of complex variables such as those belonging to psychological, psychopathological and psychotherapeutic processes. Conclusions: Research on computational methods will benefit from a careful selection of reference methods and standards. Therefore, this review represents an attempt to systematise the empirical literature on the applications of computational methods in psychotherapy research in order to offer clinicians an overview of the usefulness of these methods and the possibilities of their use in the various fields of application, highlighting their clinical implications, and ultimately attempting to identify potential opportunities for further research.

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Section: Discussionmentioning

confidence: 99%