Complexity in the narration of the self A new theoretical and methodological perspective of diagnosis in psychopathology based on the computational method

Sperandeo, Raffaele; Mosca, Lucia Luciana; Alfano, Yari Mirko; Cioffi, Valeria; Sarno, Alfonso Davide Di; Galchenko, Anastasiya; Iennaco, Daniela; Longobardi, Teresa; Moretto, Enrico; Dell'Orco, Silvia; Muzii, Benedetta; Maldonato, Nelson Mauro

doi:10.1109/coginfocom47531.2019.9089986

Cited by 8 publications

(5 citation statements)

References 32 publications

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“…One of the limitations of online psychotherapies is the value of lost information, such as that coming from the rest of the body or the other sensory channels such as sight and smell. About that different authors may have different opinions on the influence of that according to their different theoretical approach [26]. Morever there are also technical internet-related problems or other privacy related questions.…”

Section: Introductionmentioning

confidence: 99%

Satisfaction degree in the using of VideoConferencing Psychotherapy in a sample of Italian psychotherapists during Covid-19 emergency

Cioffi¹,

Cantone

Guerriera

et al. 2020

2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)

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During the last period of lockdown because of the Covid-19 pandemic influence, a lot of mental health professionals were able to continue working online, assisting their patients from home too. Even if there are still some doubts about videoconferencing psychotherapy (VCP), a lot of studies indicate that VCP can be feasible and clinically effective, in fact the online therapy is becoming increasingly popular, reducing distances even during the current pandemic. The aim of this study is to analyze the degree of satisfaction after using VCP in a sample of psychotherapists freely recruited through the publication on social media of a specially created questionnaire. The collected

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Section: Introductionmentioning

confidence: 99%

Satisfaction degree in the using of VideoConferencing Psychotherapy in a sample of Italian psychotherapists during Covid-19 emergency

Cioffi¹,

Cantone

Guerriera

et al. 2020

2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)

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“…By examining the therapist's behaviour, computational methods can have an impact on traditional approaches to the provision of psychotherapy [61]. Compared to traditional statistics methods, computational methods offer new possibilities for analysis of big data and better and more advanced computing performance, so that the advantages of computational methods probably outweigh the errors that inevitably occur in classical statistical models [43,62].…”

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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“…Finally, in the macro category of articles highlighting the use of machine learning methods, four studies were counted in which the use of devices is made for automatic recognition of personality traits ( Alam and Riccardi, 2014 ) from the analysis of language, visual expressions or textual content with the goal of constructing classifiers through a supervised machine learning approach, which learns patterns from the data. In the first one ( Sperandeo et al, 2019 ), the authors analyze verbal and nonverbal behavior through an approach directed at automatically recognizing personality traits using a collection of video blogs (vlogs) selected from Youtube, in which a person speaks while looking at the camera showing face and shoulders and vloggers illustrate a product or tell about an event. Through Amazon Mechanical Turk (an Amazon suite that enables computer programmers to coordinate human intelligences to perform tasks that computers cannot), the annotation of the vloggers’ personality traits was defined, along with their automatic transcription; audiovisual features included in the data set were analyzed along with lexical, psycholinguistic, and emotional features extracted from the transcript.…”

Section: Methodsmentioning

confidence: 99%

“…Finally, those studies that used an integrated theoretical approach as an epistemological backdrop for the observation and description of personality were selected as the last set: the use of such an approach is what best captures the complexity of human beings ( Iennaco et al, 2019 ). From such studies, those using machine learning methods for personality research and assessment have been differentiated as a further considered category ( Sperandeo et al, 2019 ).…”

Section: Introductionmentioning

confidence: 99%

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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Complexity in the narration of the self A new theoretical and methodological perspective of diagnosis in psychopathology based on the computational method

Cited by 8 publications

References 32 publications

Satisfaction degree in the using of VideoConferencing Psychotherapy in a sample of Italian psychotherapists during Covid-19 emergency

Satisfaction degree in the using of VideoConferencing Psychotherapy in a sample of Italian psychotherapists during Covid-19 emergency

Computational Methods in Psychotherapy: A Scoping Review

A scoping review on innovative methods for personality observation

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