Psychopathological diagnostics is affected by structural methodological limitations that make it less effective in clinical and research applications. These limits are related to: the intrinsic characteristics of psychopathological experiences which cannot be described in the third person; to the complexity of the individual-environment system that cannot be studied using methods based on linear causality; to the forms of psychodiagnostic reagents that hypothesize the possibility of obtaining quantitative measurements of psychic phenomena. In order to overcome these limitations, a complex psychodiagnostic evaluation model is presented in which self-report questionnaires, technologies for the evaluation of physiological indices and methods of analysis of data derived from artificial intelligence are integrated. In this project, the objectives of diagnostic evaluations are: emotional experiences articulated according to a phenomenological vision; the relational dynamics analyzed through the complex network method; the biological variations of the organism detected with the HRV. These assessments could converge towards an integrated and ecological knowledge of the individual, naturalistically based, adapted to clinical decisions and research programs.

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. - (2019), pp. 445-450. (Intervento presentato al convegno 2019 10th IEEE International Conference on Cognitive Infocommunications (CogInfoCom), Naples, Italy, 2019 tenutosi a Napoli nel 23-25 Ottobre 2019) [10.1109/CogInfoCom47531.2019.9089986].

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

Sperandeo, Raffaele
;
Dell'Orco, Silvia;Muzii, Benedetta;Maldonato, Nelson Mauro
2019

Abstract

Psychopathological diagnostics is affected by structural methodological limitations that make it less effective in clinical and research applications. These limits are related to: the intrinsic characteristics of psychopathological experiences which cannot be described in the third person; to the complexity of the individual-environment system that cannot be studied using methods based on linear causality; to the forms of psychodiagnostic reagents that hypothesize the possibility of obtaining quantitative measurements of psychic phenomena. In order to overcome these limitations, a complex psychodiagnostic evaluation model is presented in which self-report questionnaires, technologies for the evaluation of physiological indices and methods of analysis of data derived from artificial intelligence are integrated. In this project, the objectives of diagnostic evaluations are: emotional experiences articulated according to a phenomenological vision; the relational dynamics analyzed through the complex network method; the biological variations of the organism detected with the HRV. These assessments could converge towards an integrated and ecological knowledge of the individual, naturalistically based, adapted to clinical decisions and research programs.
2019
978-1-7281-4793-2
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. - (2019), pp. 445-450. (Intervento presentato al convegno 2019 10th IEEE International Conference on Cognitive Infocommunications (CogInfoCom), Naples, Italy, 2019 tenutosi a Napoli nel 23-25 Ottobre 2019) [10.1109/CogInfoCom47531.2019.9089986].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/806455
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