Abstract
This paper presents the development of a computational platform for social interaction analysis through text in terms of quantity and content of information to approach the intervention and tracing of mental pathologies. Some indexes to measure the individual cognitive development and information retrieval techniques has been adapted to the analysis context aimed to determine characteristics and find patterns on the individual linguistic components and his development. The study considered ten patients: six diagnosed with Asperger Syndrome and four with Attention Deficit Hyperactive Disorder. Evidences of the characteristics for each pathology such as abrupt change of a conversation matter, and redundancy over conversation subjects were found. Literature results and the results of this study suggest that these systems for computed mediated communication allow discovering information and empowering the cognitive development of a person. (English) [ABSTRACT FROM AUTHOR]
Cite
CITATION STYLE
Arroyave, M. A., Castillo, L. F., & Isaza, G. A. (2018). Análisis de la Interacción Social en Patologías Mentales por Medios Computacionales: Caso de Estudio Asperger y Trastorno por Déficit de Atención. Información Tecnológica, 29(2), 63–72. https://doi.org/10.4067/s0718-07642018000200063
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