Facial Emotion Expressionduring Trajectory Equifinality Approach Interview in Participant with Depression Symptoms
Autor: | Ananta Yudiarso, Hendrik Gunawan |
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Jazyk: | angličtina |
Rok vydání: | 2023 |
Předmět: | |
DOI: | 10.5281/zenodo.7747734 |
Popis: | The aim of this study is to explore Facial Emotion during a TEA (Trajectory Equifinality Approach) interview in participants with depressive symptoms. Implicit nonverbal behavioris needed to study in clinical setting especially participant who have depression symptoms. We focused to explore the dynamics of emotions and facial expression emotional representation during a participant's life trajectory at the past, present and the future event.Simultaneously, mixed methods were used by combining qualitative and quantitative methods.For qualitative methods,we administered the TEA by interviewing the bifurcation point (BFP) during his past and the Equifinality point (EFP) or the present event and imagination of their future. Thematic analysis was performed for word expressions for each of BFP,EFP and the future. Forthe quantitative research, we recorded the facial expression participant during the TEA Interview. Our findings indicated Action Units of AU4,AU5, AU7 and AU15 as markers of sadness, fear and anger involved significantly during the interview. These markers supported the qualitative research result due to the word expression of the past, the present and future {"references":["Y. Wang, N. Guobule, M. Li, and J. Li, The correlation of facial emotion recognition in patients with drug-naïve depression and suicide ideation, J. Affect. Disord., vol. 295, 2021 pp. 250–254, doi: https://doi.org/10.1016/j.jad.2021.08.051","M. Gavrilescu and N. Vizireanu, Predicting Depression, Anxiety, and Stress Levels from Videos Using the Facial Action Coding System., Sensors (Basel)., vol. 19, no. 17, Aug. 2019, doi: 10.3390/s19173693.","M. Gavrilescu and N. Vizireanu, Predicting Depression, Anxiety, and Stress Levels from Videos Using the Facial Action Coding System., Sensors (Basel)., vol. 19, no. 17, Aug. 2019, doi: 10.3390/s19173693.","N. Ismail, Analysing qualititive data using facial expression in an educational scenario, Int. J. Quant. Qual. Res. Methods, vol. 5, no. 3,2017 pp. 37–50","J. M. Girard, J. F. Cohn, M. H. Mahoor, S. M. Mavadati, Z. Hammal, and D. P. Rosenwald, \"Nonverbal Social Withdrawal in Depression: Evidence from manual and automatic analysis,\" Image Vis. Comput., vol. 32, no. 10, 2014, pp. 641–647, doi: 10.1016/j.imavis.2013.12.007.","H. Hayhurst, Z. Cooper, E. S. Paykel, R. Ramana, and S. Vearnals, Expressed emotion and depression: A longitudinal study, Br. J. Psychiatry, vol. 171, no. 5, 1997 pp. 439–443, doi: DOI: 10.1192/bjp.171.5.439","A. Stuhrmann, T. Suslow, and U. Dannlowski, Facial emotion processing in major depression: a systematic review of neuroimaging findings., Biol. Mood Anxiety Disord., vol. 1, no. 1, 2011 p. 10, doi: 10.1186/2045-5380-1-10."]} |
Databáze: | OpenAIRE |
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