Background factors predicting accuracy and improvement in micro expression recognition

Hurley, Carolyn M.; Anker, Ashley E.; Frank, Mark G.; Matsumoto, David; Hwang, Hyisung C.

doi:10.1007/s11031-014-9410-9

Cited by 37 publications

(50 citation statements)

References 63 publications

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“…Previous studies have shown that, in addition to sex (Hall and Matsumoto, 2004 ), age (Mill et al, 2009 ; Hurley et al, 2014 ) and personality (Hurley et al, 2014 ), depression (Liu et al, 2012 ; Gollan et al, 2015b ; Kerestes et al, 2016 ; Milders et al, 2016 ) can affect one’s performance when recognizing ordinary facial expressions. Depression is one of the most common mental illness (Bocharov et al, 2017 ); the official website of WHO reports that the global prevalence of patients with depression exceeds 300 million.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Ecological Micro-Expression Recognition in Patients with Depression and Healthy Individuals

Zhu

Zhang

Zhiying

et al. 2017

Front. Behav. Neurosci.

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Previous studies have focused on the characteristics of ordinary facial expressions in patients with depression, and have not investigated the processing characteristics of ecological micro-expressions (MEs, i.e., MEs that presented in different background expressions) in these patients. Based on this, adopting the ecological MEs recognition paradigm, this study aimed to comparatively evaluate facial ME recognition in depressed and healthy individuals. The findings of the study are as follows: (1) background expression: the accuracy (ACC) in the neutral background condition tended to be higher than that in the fear background condition, and the reaction time (RT) in the neutral background condition was significantly longer than that in other backgrounds. The type of ME and its interaction with the type of background expression could affect participants’ ecological MEs recognition ACC and speed. Depression type: there was no significant difference between the ecological MEs recognition ACC of patients with depression and healthy individuals, but the patients’ RT was significantly longer than that of healthy individuals; and (2) patients with depression judged happy MEs that were presented against different backgrounds as neutral and judged neutral MEs that were presented against sad backgrounds as sad. The present study suggested the following: (1) ecological MEs recognition was influenced by background expressions. The ACC of happy MEs was the highest, of neutral ME moderate and of sadness and fear the lowest. The response to the happy MEs was significantly shorter than that of identifying other MEs. It is necessary to conduct research on ecological MEs recognition; (2) the speed of patients with depression in identifying ecological MEs was slower than of healthy individuals; indicating that the patients’ cognitive function was impaired; and (3) the patients with depression showed negative bias in the ecological MEs recognition task, reflecting the lack of happy ME recognition ability and the generalized identification of sad MEs in those patients.

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Section: Introductionmentioning

confidence: 99%

Comparison of Ecological Micro-Expression Recognition in Patients with Depression and Healthy Individuals

Zhu

Zhang

Zhiying

et al. 2017

Front. Behav. Neurosci.

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“…Ekman等人 [18,19] 认为, 微表情的出现是自发性的, 有时会包含宏表情肌肉动作的全部, 有时却只出现部分肌肉动作, 而有时仅出现一个运动单元, 如内侧眉毛上提(Action Unit 1, AUI) [20] . 早期研究发现, 个体的微表情识别受性别 [21] 、年龄 [22] 、职业 [22,23] 、文化 [24,25] 、疾病(如精神分裂症、述情障碍) [26,27] 平上存在显著差异, 抑郁症患者的表情识别水平均低于健康人, 这一结果恰好验证了Milders等人 [2] 者更倾向于对中性情绪进行消极的解读 [3] . 但在 Mikhailova等人 [14]…”

Section: 生活中除了宏表情外还存在着另一种很难被unclassified

Emotional expression and micro-expression recognition in depressive patients

Chen

et al. 2018

Chin. Sci. Bull.

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“…'Micro-expressions' are extremely brief facial expressions that are displayed in experimental contexts where a person is asked to try to conceal, hide, or repress her true feelings (Ekman, 2003;Ekman and O'Sullivan, 1991;Hurley, et. al.…”

Section: Ways We Can't Help Lookingmentioning

confidence: 99%

The Look of Another Mind

Parrott¹

2017

Mind

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According to the perceptual model, our knowledge of others' minds is a form of perceptual knowledge. We know, for example, that Jones is angry because we can literally see that he is. In this essay, I argue that mental states do not have the kind of distinctive looks that could sufficiently justify perceptual knowledge of others' mentality. I present a puzzle that can arise with respect to mental states that I claim does not arise for non-mental properties like being an apple and argue that this is explained by the fact that the looks of non-mental properties adhere to a certain explanatory principle that does not hold for mental states. This shows, I argue, that, even if we think mental states do have looks, these cannot offer sufficient grounds for perceptual knowledge of others' minds. In the final section of the essay, I suggest an alternative way of thinking about our knowledge of others' minds and about the sorts of looks or appearances that might be associated with mental states. Many people have the sense that we simply cannot know about the mental states of other individuals in the same way we know about ordinary material objects. Nevertheless, a growing number of philosophers have come to endorse the surprising thesis that our knowledge of others' minds is a form of perceptual knowledge. They claim, for example, that we know that Jones is angry because we can literally see that she is angry (e.g., Cassam, 2007;

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Background factors predicting accuracy and improvement in micro expression recognition

Cited by 37 publications

References 63 publications

Comparison of Ecological Micro-Expression Recognition in Patients with Depression and Healthy Individuals

Comparison of Ecological Micro-Expression Recognition in Patients with Depression and Healthy Individuals

Emotional expression and micro-expression recognition in depressive patients

The Look of Another Mind

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