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Pregled bibliografske jedinice broj: 643734

Computer-aided Psychotherapy Based on Multimodal Elicitation, Estimation and Regulation of Emotion


Ćosić, Krešimir; Popović, Siniša; Horvat, Marko; Kukolja, Davor; Dropuljić, Branimir; Kovač, Bernard; Jakovljević, Miro
Computer-aided Psychotherapy Based on Multimodal Elicitation, Estimation and Regulation of Emotion // Psychiatria Danubina, 25 (2013), 3; 340-346 (međunarodna recenzija, članak, znanstveni)


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Naslov
Computer-aided Psychotherapy Based on Multimodal Elicitation, Estimation and Regulation of Emotion

Autori
Ćosić, Krešimir ; Popović, Siniša ; Horvat, Marko ; Kukolja, Davor ; Dropuljić, Branimir ; Kovač, Bernard ; Jakovljević, Miro

Izvornik
Psychiatria Danubina (0353-5053) 25 (2013), 3; 340-346

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
emotion elicitation; multimodal stimulation; cognitive appraisal; multimodal features; emotion estimation; physiological – acoustic – linguistic – facial features

Sažetak
Contemporary psychiatry is looking at affective sciences to understand human behavior, cognition and the mind in health and disease. Since it has been recognized that emotions have a pivotal role for the human mind, an ever increasing number of laboratories and research centers are interested in affective sciences, affective neuroscience, affective psychology and affective psychopathology. Therefore, this paper presents multidisciplinary research results of Laboratory for Interactive Simulation System at Faculty of Electrical Engineering and Computing, University of Zagreb in the stress resilience. Patient’s distortion in emotional processing of multimodal input stimuli is predominantly consequence of his/her cognitive deficit which is result of their individual mental health disorders. These emotional distortions in patient’s multimodal physiological, facial, acoustic, and linguistic features related to presented stimulation can be used as indicator of patient’s mental illness. Real-time processing and analysis of patient’s multimodal response related to annotated input stimuli is based on appropriate machine learning methods from computer science. Comprehensive longitudinal multimodal analysis of patient’s emotion, mood, feelings, attention, motivation, decision-making, and working memory in synchronization with multimodal stimuli provides extremely valuable big database for data mining, machine learning and machine reasoning. Presented multimedia stimuli sequence includes personalized images, movies and sounds, as well as semantically congruent narratives. Simultaneously, with stimuli presentation patient provides subjective emotional ratings of presented stimuli in terms of subjective units of discomfort/distress, discrete emotions, or valence and arousal. These subjective emotional ratings of input stimuli and corresponding physiological, speech, and facial output features provides enough information for evaluation of patient’s cognitive appraisal deficit. Aggregated real-time visualization of this information provides valuable assistance in patient mental state diagnostics enabling therapist deeper and broader insights into dynamics and progress of the psychotherapy.

Izvorni jezik
Engleski

Znanstvena područja
Kliničke medicinske znanosti, Psihologija



POVEZANOST RADA


Projekti:
036-0000000-2029 - Adaptivno upravljanje scenarijima u VR terapiji PTSP-a (Ćosić, Krešimir, MZOS ) ( POIROT)
108-1080037-0323 - Multidimenzionalna analiza bioloških pokazatelja u duševnim poremećajima (Jakovljević, Miro, MZOS ) ( POIROT)

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Citiraj ovu publikaciju:

Ćosić, Krešimir; Popović, Siniša; Horvat, Marko; Kukolja, Davor; Dropuljić, Branimir; Kovač, Bernard; Jakovljević, Miro
Computer-aided Psychotherapy Based on Multimodal Elicitation, Estimation and Regulation of Emotion // Psychiatria Danubina, 25 (2013), 3; 340-346 (međunarodna recenzija, članak, znanstveni)
Ćosić, K., Popović, S., Horvat, M., Kukolja, D., Dropuljić, B., Kovač, B. & Jakovljević, M. (2013) Computer-aided Psychotherapy Based on Multimodal Elicitation, Estimation and Regulation of Emotion. Psychiatria Danubina, 25 (3), 340-346.
@article{article, year = {2013}, pages = {340-346}, keywords = {emotion elicitation, multimodal stimulation, cognitive appraisal, multimodal features, emotion estimation, physiological – acoustic – linguistic – facial features}, journal = {Psychiatria Danubina}, volume = {25}, number = {3}, issn = {0353-5053}, title = {Computer-aided Psychotherapy Based on Multimodal Elicitation, Estimation and Regulation of Emotion}, keyword = {emotion elicitation, multimodal stimulation, cognitive appraisal, multimodal features, emotion estimation, physiological – acoustic – linguistic – facial features} }
@article{article, year = {2013}, pages = {340-346}, keywords = {emotion elicitation, multimodal stimulation, cognitive appraisal, multimodal features, emotion estimation, physiological – acoustic – linguistic – facial features}, journal = {Psychiatria Danubina}, volume = {25}, number = {3}, issn = {0353-5053}, title = {Computer-aided Psychotherapy Based on Multimodal Elicitation, Estimation and Regulation of Emotion}, keyword = {emotion elicitation, multimodal stimulation, cognitive appraisal, multimodal features, emotion estimation, physiological – acoustic – linguistic – facial features} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • Social Science Citation Index (SSCI)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE


Uključenost u ostale bibliografske baze podataka::


  • EMBASE (Excerpta Medica)
  • MEDLINE
  • PsychINFO
  • Social Services Abstracts
  • EBSCO
  • Science Citation Index Expanded/SciSearch
  • Social Sciences Citation Index
  • Journal Citation Reports/Social Sciences Edition
  • Journal Citation Reports/Science Edition
  • SCOPUS
  • BioMedWorld.com
  • Research Alert
  • Google Scholar
  • HRČAK





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