IMotions’ automatic facial recognition & text-based content analysis of basic emotions & empathy in the application of the interactive neurocommunicative technique LNCBT (line & numbered concordant basic text)

dc.contributor.authorFárez Plasencia, María Isabel
dc.contributor.authorWebster Cordero, Felipe Edmundo
dc.contributor.authorEstevez Abad, René Fernando
dc.contributor.authorTorres Espinoza, Felipe Andrés
dc.contributor.authorMora Fernández, Jorge Ignacio
dc.contributor.authorKhan, Azizuddin
dc.date.accessioned2021-01-22T00:48:21Z
dc.date.available2021-01-22T00:48:21Z
dc.date.issued2020
dc.description.abstractThis research paper focuses on the effectiveness of the Line Numbered Concordant Basic Text (LNCBT) of Narcotics Anonymous as an interactive neurocommunicative and gamificated technique to generate empathic emotions through its process and application. The LNCBT is studied as an effective educational, neurocommunicational and behavioral change technique for recovery from addictions. Firstly, it was analyzed through Facial Action Coding System (FACS) using the iMotions Software. Secondly, the FACS results were also contrasted with text-based content analysis to confirm the relationship between empathic emotions and the prose contained in the LNCBT, which the subjects selected through an interactive communicative and game-based learning process: writing the numbers of their favorite sentences that they related with and sharing about them. The analyzed data suggest that LNCBT technique activates emotional empathy, including the ability of identifying through written text and verbal and nonverbal expressions. Results confirmed multiple complex emotional flow from recognizing negative emotions, at the beginning, to more positive emotions, at the end of the technique. From middle time of the technique to the last moments the research observed more balanced emotional states, once the negative experiences were recognized and shared at the beginning. At the end of the experience joy predominates (75%–85% of time) while emotions like anger or disgust tend to diminish. Finally, the text-based content analysis method found data that also suggests that the subjects, during the completion of the LNCBT technique, felt a positive emotional flow towards empathy, a collective, nonjudgmental and shared balance emotional state. The results suggest that the interactive neurocommunicative technique of LNCBT therapeutically supports recovery from the addictive process, from the isolated self-centered obsessive and compulsive emotional state towards a more empathic collective state.
dc.description.cityCopenhagen
dc.identifier.doi10.1007/978-3-030-49907-5_5
dc.identifier.isbn978-303049906-8
dc.identifier.issn0302-9743
dc.identifier.urihttp://dspace.ucuenca.edu.ec/handle/123456789/35497
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85088753856&doi=10.1007%2f978-3-030-49907-5_5&partnerID=40&md5=040706df410df379b44cfc2059aa93fb
dc.language.isoes_ES
dc.publisherSpringer
dc.sourceLecture Notes in Computer Science
dc.subjectFACS
dc.subjectNeurocommunications
dc.subjectRecovery from addictions
dc.subjectSocial brain
dc.subjectAutomatic facial emotion recognition
dc.subjectBehavior change techniques
dc.subjectConnective intelligence
dc.subjectEmotional Text-based content
dc.subjectEmpathic imagination
dc.subjectEmpathy and emotion
dc.subjectGamificationi
dc.subjectMotions
dc.subjectInteractive communications
dc.subjectLNCBT
dc.subjectNarcotics anonymous
dc.titleIMotions’ automatic facial recognition & text-based content analysis of basic emotions & empathy in the application of the interactive neurocommunicative technique LNCBT (line & numbered concordant basic text)
dc.typeARTÍCULO DE CONFERENCIA
dc.ucuenca.afiliacionTorres, F., Universidad de Cuenca, Cuenca, Ecuador
dc.ucuenca.afiliacionMora, J., Universidad de Cuenca, Cuenca, Ecuador; Mora, J., University of California, San Francisco, San Francisco, Estados unidos; Mora, J., Universidad Nacional de Chimborazo, Riobamba, Ecuador
dc.ucuenca.afiliacionKhan, A., Indian Institute of Technology, Bombay, Mumbai, India
dc.ucuenca.afiliacionEstevez, R., Universidad de Cuenca, Cuenca, Ecuador
dc.ucuenca.afiliacionWebster, F., Universidad de Cuenca, Cuenca, Ecuador
dc.ucuenca.afiliacionFarez, M., Universidad de Cuenca, Cuenca, Ecuador
dc.ucuenca.areaconocimientofrascatiamplio3. Ciencias Médicas y de la Salud
dc.ucuenca.areaconocimientofrascatidetallado3.1.4 Neurociencias
dc.ucuenca.areaconocimientofrascatiespecifico3.1 Medicina Básica
dc.ucuenca.areaconocimientounescoamplio09 - Salud y Bienestar
dc.ucuenca.areaconocimientounescodetallado0912 - Medicina
dc.ucuenca.areaconocimientounescoespecifico091 - Salud
dc.ucuenca.comiteorganizadorconferenciaUC San Diego, Universidad Nacional del Chimborazo, Universidad de Cuenca
dc.ucuenca.conferenciath International Conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, DHM , held as part of the nd International Conference on Human-Computer Interaction, HCII
dc.ucuenca.correspondenciaMora Fernandez, Jorge Ignacio, jorge.mora@ucuenca.edu.ec
dc.ucuenca.cuartilQ2
dc.ucuenca.embargoend2050-12-31
dc.ucuenca.embargointerno2050-12-31
dc.ucuenca.factorimpacto0.43
dc.ucuenca.fechafinconferencia2020-07-24
dc.ucuenca.fechainicioconferencia2020-07-19
dc.ucuenca.idautor0705811396
dc.ucuenca.idautor0105702351
dc.ucuenca.idautorAAC851615
dc.ucuenca.idautor0000-0003-4188-2065
dc.ucuenca.idautor0102157146
dc.ucuenca.idautor0102605656
dc.ucuenca.indicebibliograficoSCOPUS
dc.ucuenca.numerocitaciones0
dc.ucuenca.organizadorconferenciaUC San Diego, Universidad Nacional del Chimborazo, Universidad de Cuenca
dc.ucuenca.paisDINAMARCA
dc.ucuenca.urifuentehttps://www.springer.com/de/it-informatik/lncs
dc.ucuenca.versionVersión publicada
dc.ucuenca.volumenVolumen 12198 LNCS

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