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Pregled bibliografske jedinice broj: 842427

Multidisciplinary metrics on individual and societal stress resilience


Ćosić, Krešimir; Srbljinović, Armano; Popović, Siniša
Multidisciplinary metrics on individual and societal stress resilience // 2nd International Symposium on Resilience Research
Mainz, Njemačka, 2016. (predavanje, međunarodna recenzija, neobjavljeni rad, znanstveni)


CROSBI ID: 842427 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Multidisciplinary metrics on individual and societal stress resilience

Autori
Ćosić, Krešimir ; Srbljinović, Armano ; Popović, Siniša

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, neobjavljeni rad, znanstveni

Izvornik
2nd International Symposium on Resilience Research / - , 2016

Skup
2nd International Symposium on Resilience Research

Mjesto i datum
Mainz, Njemačka, 28-30.09.2016

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
individual and societal resilience; multidisciplinary metrics; computer-aided cognitive behavioral therapy; emotionally based strategic communications; stimuli generation; multimodal emotion estimation; data mining; machine learning

Sažetak
Advanced translational research on strengthening individual and societal resilience in turbulent and traumatic societal environments deserves more interdisciplinary efforts aimed at prevention of mental health disorders among trauma-affected population. The paper presents our laboratory research on Computer-aided Cognitive Behavioral Therapy (CCBT) and Emotionally Based Strategic Communications (EBSC). The proposed CCBT combines closed-loop stimuli generation, multimodal emotion estimation and a variety of cognitive behavioral strategies for emotion regulation. People’s distortions in emotional processing of traumatic experience are predominantly consequences of their negative appraisal style. The emotional distortions in subjects’ multimodal physiological, facial, acoustic, EEG and linguistic features related to the presented traumatic stimulation are used for evaluation of individual resilience using various data mining and machine learning algorithms. To improve the effectiveness of traditional face-to- face psychotherapy, therapists can use real-time computer-aided closed-loop stimulation strategies in “brain-train” exercises aimed at subjects’ appraisal-style restructuring. EBSC are conceptualized as a “positively valenced stimulation” of a negatively emotionally affected group by an appropriate communications strategy in order to influence perceptions, attitudes, and behavior of the group. EBSC can be viewed as a large-scale strategy of emotion regulation that may ease social and security tensions in politically polarized, culturally fragmented, or economically stratified social settings, thereby facilitating harmonization of diversified communities. The change of dominant emotions of wide segments of the population provides a “driving force” or “leverage” for more encompassing societal changes as it implies a change in action tendencies of large numbers of individuals enabling a more cooperative and coherent collective action at the societal macro- level.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Sociologija, Psihologija



POVEZANOST RADA


Projekti:
036-0000000-2029 - Adaptivno upravljanje scenarijima u VR terapiji PTSP-a (Ćosić, Krešimir, MZOS ) ( POIROT)

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb


Citiraj ovu publikaciju:

Ćosić, Krešimir; Srbljinović, Armano; Popović, Siniša
Multidisciplinary metrics on individual and societal stress resilience // 2nd International Symposium on Resilience Research
Mainz, Njemačka, 2016. (predavanje, međunarodna recenzija, neobjavljeni rad, znanstveni)
Ćosić, K., Srbljinović, A. & Popović, S. (2016) Multidisciplinary metrics on individual and societal stress resilience. U: 2nd International Symposium on Resilience Research.
@article{article, year = {2016}, keywords = {individual and societal resilience, multidisciplinary metrics, computer-aided cognitive behavioral therapy, emotionally based strategic communications, stimuli generation, multimodal emotion estimation, data mining, machine learning}, title = {Multidisciplinary metrics on individual and societal stress resilience}, keyword = {individual and societal resilience, multidisciplinary metrics, computer-aided cognitive behavioral therapy, emotionally based strategic communications, stimuli generation, multimodal emotion estimation, data mining, machine learning}, publisherplace = {Mainz, Njema\v{c}ka} }
@article{article, year = {2016}, keywords = {individual and societal resilience, multidisciplinary metrics, computer-aided cognitive behavioral therapy, emotionally based strategic communications, stimuli generation, multimodal emotion estimation, data mining, machine learning}, title = {Multidisciplinary metrics on individual and societal stress resilience}, keyword = {individual and societal resilience, multidisciplinary metrics, computer-aided cognitive behavioral therapy, emotionally based strategic communications, stimuli generation, multimodal emotion estimation, data mining, machine learning}, publisherplace = {Mainz, Njema\v{c}ka} }




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