Correlations Between Psychological Status and Perception of Facial Expression
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Objective Facial affect recognition is associated with neuropsychological status and psychiatric diseases. We hypothesized that facial affect recognition is associated with psychological status and perception of other affects.Methods A total of 80 images depicting facial affect, including 20 Neutral, 20 Angry, 20 Fear, and 20 Sad, were screened for use in our research. A total of 100 healthy individuals were asked to rate these images using a 10-point Likert scale and complete psychological scales assessing the emotional statuses and cognitive functions.Results The participants’ emotional state of aggression, attention, and impulsivity may have been associated with their interpretation of the Angry facial expressions. The participants often rated the Angry facial expressions as Fear. The participants rated Fear images as Angry or Sad. In response to a Sad facial expression, the participants reported psychological statuses of attention and impulsivity which were associated with the facial expression rating. The participants rated the Sad expression as Angry or Fear.Conclusion The psychological statuses of the participants were significantly correlated with their interpretation of facial affects. In particular, a psychological state of attention was often correlated with incorrect affect ratings. Attention and impulsivity could affect the rating of the sad facial expressions.
Abstract
Objective Facial affect recognition is associated with neuropsychological status and psychiatric diseases. We hypothesized that facial affect recognition is associated with psychological status and perception of other affects.Methods A total of 80 images depicting facial affect, including 20 Neutral, 20 Angry, 20 Fear, and 20 Sad, were screened for use in our research. A total of 100 healthy individuals were asked to rate these images using a 10-point Likert scale and complete psychological scales assessing the emotional statuses and cognitive functions.Results The participants’ emotional state of aggression, attention, and impulsivity may have been associated with their interpretation of the Angry facial expressions. The participants often rated the Angry facial expressions as Fear. The participants rated Fear images as Angry or Sad. In response to a Sad facial expression, the participants reported psychological statuses of attention and impulsivity which were associated with the facial expression rating. The participants rated the Sad expression as Angry or Fear.Conclusion The psychological statuses of the participants were significantly correlated with their interpretation of facial affects. In particular, a psychological state of attention was often correlated with incorrect affect ratings. Attention and impulsivity could affect the rating of the sad facial expressions.
참고문헌 (49)
- Alharbi SAH, "Are affective factors related to individual differences in facial expression recognition?", R Soc Open Sci, 7, pp.190699~ (2020)
- Bistricky SL, "Facial affect processing and depression susceptibility: cognitive biases and cognitive neuroscience", Psychol Bull, 137, pp.998~1028 (2011)
- Passarotti AM, "Emotion processing influences working memory circuits in pediatric bipolar disorder and attention-deficit", hyperactivity disorder, 2010, pp.49, 1064~1080
- Darwin C, "The expression of the emotions in man and animals" (1965), University of Chicago Press
- Izard CE, "Emotion theory and research: highlights, unanswered questions, and emerging issues", Annu Rev Psychol, 60, pp.1~25 (2009)
- Hedger N, "Fearful faces have a sensory advantage in the competition for awareness", J Exp Psychol Hum Percept Perform, 41, pp.1748~1757 (2015)
- Lange J, "Reading emotions, reading people:emotion perception and inferences drawn from perceived emotions", Curr Opin Psychol, 43, pp.85~90 (2022)
- Calvo MG, "Recognition thresholds for static and dynamic emotional faces", Emotion, 16, pp.1186~1200 (2016)
- McKasy M, "A discrete emotion with discrete effects: effects of anger on depth of information processing", Cogn Process, 21, pp.555~573 (2020)
- Kühne R, "The emotional effects of news frames on information processing and opinion formation", Commun Res, 42, pp.387~407 (2015)
- Nabi RL, "A cognitive‐functional model for the effects of discrete negative emotions on information processing, attitude change, and recall", Commun Theory, 9, pp.292~320 (1999)
- Lazarus RS, "Progress on a cognitive-motivational-relational theory of emotion", Am Psychol, 46, pp.819~834 (1991)
- Pessoa L, "Visual awareness and the detection of fearful faces", Emotion, 5, pp.243~247 (2005)
- Demenescu LR, "Impaired attribution of emotion to facial expressions in anxiety and major depression", PLoS One, 5, pp.e15058~ (2010)
- Acland EL, "Children’s emotion recognition and aggression:a multi-cohort longitudinal study", Aggress Behav, 47, pp.646~658 (2021)
- Dan O, "Recognition of emotional facial expressions in adolescents with attention deficit", hyperactivity disorder, 2020, pp.82, 1~10
- Löytömäki J, "The role of linguistic and cognitive factors in emotion recognition difficulties in children with ASD, ADHD or DLD", Int J Lang Commun Disord, 55, pp.231~242 (2020)
- Mancini C, "Happy facial expressions impair inhibitory control with respect to fearful facial expressions but only when task-relevant", Emotion, 22, pp.142~152 (2022)
- Jiahua Xu, "Developmental Sex Differences in Negative Emotion Decision-Making Dynamics: Computational Evidence and Amygdala-Prefrontal Pathways", Cerebral Cortex (2021), Oxford University Press (OUP)[DOI]
- Buades-Rotger M, "Patients with ventromedial prefrontal lesions show an implicit approach bias to angry faces", J Cogn Neurosci, 33, pp.1069~1081 (2021)
- Pascalis O, "Development of face processing", Wiley Interdiscip Rev Cogn Sci, 2, pp.666~675 (2011)
- Cohen J, "A power primer", Psychol Bull, 112, pp.155~159 (1992)
- Sheehan DV, "The mini-international neuropsychiatric interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10", J Clin Psychiatry, 59(Suppl 20), pp.22~33 (1998)
- Yoo SW, "Validity of Korean version of the mini-international neuropsychiatric interview", Anxiety Mood, 2, pp.50~55 (2006)
- Wang X, "The psychometric properties of the Chinese version of the Beck Depression Inventory-II with middle school teachers", Front Psychol, 11, pp.548965~ (2020)
- 이은호, "Reliability and Validity of the Beck Depression Inventory-II among Korean Adolescents", PSYCHIATRY INVESTIGATION, 14(1), pp.30~36 (2017), 대한신경정신의학회[DOI]
- 이한경, "Psychometric Properties of the Beck Anxiety Inventory in the Community-dwelling Sample of Korean Adults", Korean Journal of Clinical Psychology, 35(4), pp.822~830 (2016), 한국임상심리학회[DOI]
- Patton JH, "Factor structure of the Barratt impulsiveness scale", J Clin Psychol, 51, pp.768~774 (1995)
- 이소라, "한국판 Barratt Impulsiveness Scale-11-Revised의 신뢰도 및 타당도 연구 ; 일반성인집단을 중심으로", 신경정신의학, 51(6), pp.378~386 (2012), 대한신경정신의학회
- Kessler RC, "The World Health Organization adult ADHD self-report scale (ASRS): a short screening scale for use in the general population", Psychol Med, 35, pp.245~256 (2005)
- 김지혜, "The WHO Adult ADHD Self-Report Scale: Reliability and Validity of the Korean Version", PSYCHIATRY INVESTIGATION, 10(1), pp.41~46 (2013), 대한신경정신의학회[DOI]
- Buss AH, "The aggression questionnaire", J Pers Soc Psychol, 63, pp.452~459 (1992)
- Eunjin Kim, "The association between aggression and risk of Internet gaming disorder in Korean adolescents: the mediation effect of father-adolescent communication style", Epidemiology and Health, 40, pp.1~7 (2018), 한국역학회[DOI]
- 이슬비, "Theory of Mind as a Mediator of Reasoning and Facial Emotion Recognition: Findings from 200 Healthy People", PSYCHIATRY INVESTIGATION, 11(2), pp.105~111 (2014), 대한신경정신의학회[DOI]
- 이경욱, "Development and Standardization of Extended ChaeLee Korean Facial Expressions of Emotions", PSYCHIATRY INVESTIGATION, 10(2), pp.155~163 (2013), 대한신경정신의학회
- Mei G, "Lower recognition thresholds for sad facial expressions in subthreshold depression: a longitudinal study", Psychiatry Res, 294, pp.113499~ (2020)
- Marsh PJ, "ADHD and schizophrenia phenomenology:visual scanpaths to emotional faces as a potential psychophysiological marker?", Neurosci Biobehav Rev, 30, pp.651~665 (2006)
- Pelc K, "Recognition of emotional facial expressions in attention-deficit hyperactivity disorder", Pediatr Neurol, 35, pp.93~97 (2006)
- Liu P, "Facial expression recognition via a boosted deep belief network", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.1805~1812 (2014), IEEE
- Vuilleumier P, "How brains beware: neural mechanisms of emotional attention", Trends Cogn Sci, 9, pp.585~594 (2005)
- Stein T, "No effect of value learning on awareness and attention for faces: evidence from continuous flash suppression and the attentional blink", J Exp Psychol Hum Percept Perform, 47, pp.1043~1055 (2021)
- Johnson MH, "Face processing as a brain adaptation at multiple timescales", Q J Exp Psychol (Hove), 64, pp.1873~1888 (2011)
- Bertini C, "Fear-related signals are prioritised in visual, somatosensory and spatial systems", Neuropsychologia, 150, pp.107698~ (2021)
- Borhani K, "Emotional face recognition in individuals withattention-deficit", hyperactivity disorder: a review article, 2018, pp.43, 256~277
- Sinzig J, "Do hyperactivity, impulsivity and inattention have an impact on the ability of facial affect recognition in children with autism and ADHD?", Eur Child Adolesc Psychiatry, 17, pp.63~72 (2008)
- van Stralen J, "Emotional dysregulation in children with attention-deficit", hyperactivity disorder, 2016, pp.8, 175~187
- Bisch J, "Emotion perception in adult attention-deficit hyperactivity disorder", J Neural Transm (Vienna), 123, pp.961~970 (2016)
- Petroni A, "The cortical processing of facial emotional expression is associated with social cognition skills and executive functioning: a preliminary study", Neurosci Lett, 505, pp.41~46 (2011)
- Shioiri T, "Misinterpretation of facial expression: a cross-cultural study", Psychiatry Clin Neurosci, 53, pp.45~50 (1999)