The Nodes of Treatment: A Pilot Study of the Patient-Therapist Relationship Through the Theory of Complex Systems

Sperandeo, Raffaele; Mosca, Lucia Luciana; Galchenko, Anastasiya; Moretto, Enrico; Sarno, Alfonso Davide Di; Longobardi, Teresa; Iennaco, Daniela; Cioffi, Valeria; Esposito, Anna; Maldonato, Nelson Mauro

doi:10.1007/978-981-15-5093-5_50

Cited by 3 publications

(2 citation statements)

References 17 publications

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“…The authors concluded that therapeutic processes are complex phenomena that require technologies capable of monitoring and reporting in real time on non-linear features of the ongoing process (e.g., its stability or instability). Three of these last six papers tried to evaluate the possibility of describing the complexity of therapeutic relationships using the methods of machine learning and complex networks (GEPHI networks; BERT, bidirectional encoder representations from transformers; topic model) [39,49,50]. All three computational methods used showed a high level of accuracy in analysing psychotherapeutic sessions.…”

Section: Results Of Individual Sources Of Evidencementioning

confidence: 99%

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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: Results Of Individual Sources Of Evidencementioning

confidence: 99%

“…The nodes of treatment. A pilot study of the patient-therapist relationship through the theory of complex systems [49] 2021 Raffaele Sperandeo…”

Section: Bertmentioning

confidence: 99%

Computational Methods in Psychotherapy: A Scoping Review

Cioffi¹,

Mosca²,

Moretto³

et al. 2022

IJERPH

Self Cite

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Hypothesis for Describing a Case of Gestalt Psychotherapy Using the Network and Process Model Approach with Reference to RDoC

Cioffi,

Mosca,

Moretto

et al. 2023

2023 14th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)

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A scoping review on innovative methods for personality observation

Mosca¹,

Continisio²,

Lucia³

et al. 2023

Front. Psychol.

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BackgroundPersonality’s investigation has always been characterized as a central area of research for psychology, such that it was established in the 1920s as an autonomous scientific-disciplinary field. Identifying and observing the people’s typical ways of “being in the world” has made possible to define the predictability of a pattern of behavioral responses related both to the possession of distinct characteristics of the agent subject and to specific environmental situations. In the actual scientific landscape, there is a strand of research that makes a description of personality through methodologies and indicators not usually used by psychology, but scientifically validated through standardized procedures. Such studies seem to be significantly increasing and reflect the emerging need to have to consider the human being in his or her complexity, whose existential and personal dimensions can no longer be traced to classification systems that are divorced from the epochal reference.ObjectiveIn this review, attention is focused on highlighting publications in the literature that have included the use of unconventional methods in the study of nonpathological personality, based on the Big Five theoretical reference model. To better understand human nature, an alternative based on evolutionary and interpersonal theory is presented.DesignOnline 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.ResultsThe selected studies were grouped according to the particular method of investigation or description of personality used. Four broad thematic categories were identified: bodily and behavioral element; semantic analysis of the self-descriptions provided; integrated-type theoretical background; and use of machine learning methods. All articles refer to trait theory as the prevailing epistemological background.ConclusionThis review is presented as an initial attempt to survey the production in the literature with respect to the topic and its main purpose was to highlight how the use of observational models based on aspects previously considered as scientifically uninformative (body, linguistic expression, environment) with respect to personality analysis proves to be a valuable resource for drawing up more complete personality profiles that are able to capture more of the complexity of the person. What has emerged is a rapidly expanding field of study.

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The Nodes of Treatment: A Pilot Study of the Patient-Therapist Relationship Through the Theory of Complex Systems

Cited by 3 publications

References 17 publications

Computational Methods in Psychotherapy: A Scoping Review

Computational Methods in Psychotherapy: A Scoping Review

Hypothesis for Describing a Case of Gestalt Psychotherapy Using the Network and Process Model Approach with Reference to RDoC

A scoping review on innovative methods for personality observation

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