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Abstract Micro-expressions are often embedded in a flow of expressions including both neutral and other facial expressions. However, it remains unclear whether the types of facial expressions appearing before and after the micro-expression, i.e., the emotional context, influence micro-expression recognition. To address this question, the present study used a modified METT (Micro-Expression Training Tool) paradigm that required participants to recognize the target micro-expressions presented briefly between two identical emotional faces. The results of Experiments 1 and 2 showed that negative context impaired the recognition of micro-expressions regardless of the duration of the target micro-expression. Stimulus-difference between the context and target micro-expression was accounted for in Experiment 3. Results showed that a context effect on micro-expression recognition persists even when the stimulus similarity between the context and target micro-expressions was controlled.
Sorry if I'm being a little combative but I have a brief presentation on micro-expressions in my speech class and in my thesis I say that micro-expressions can be used as a tool to detect deception.
Therefore, our results not only provided evidence for the context effect on micro-expression recognition but also suggested that the context effect might result from both the stimulus and valence differences. Citation: Zhang M, Fu Q, Chen Y-H, Fu X (2014) Emotional Context Influences Micro-Expression Recognition.
PLoS ONE 9(4): e95018. Editor: Philip Allen, University of Akron, United States of America Received: November 9, 2013; Accepted: March 21, 2014; Published: April 15, 2014 Copyright: © 2014 Zhang et al. This is an open-access article distributed under the terms of the, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Funding: This research was supported in part by grants from the National Basic Research Program of China (2011CB302201) and the National Natural Science Foundation of China (61375009). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist. Introduction Micro-expressions are extremely quick facial expressions that usually last for 1/25 s to 1/5 s. Like facial expressions, micro-expressions also include some basic emotions,, such as anger and fear. Normally, a micro-expression is embedded in the flow of expressions and occurs when people try to conceal or repress their emotions. Previous research suggests that micro-expressions are important cues for revealing true feelings and detecting deceptive behaviors.
However, people usually have difficulties detecting or recognizing micro-expressions. Dm800se clone drivers. Download free software my candy love ap hack. Synthesized micro-expressions refer to artificially created micro-expressions in which an emotional expression is inserted between two neutral expressions (See ). Synthesized micro-expressions are commonly used in micro-expression recognition research as well as training materials, such as those in Ekman’s micro-expression training tool (METT), which aimed to improve people’s ability to recognize expressions. In addition, synthesized micro-expressions are also employed to investigate the characteristics and other influencing factors in micro-expression recognition research,. For example, Shen et al. (2012), using the neutral-emotional-neutral paradigm, found that recognition accuracy rates gradually increased as presentation duration became longer but was within 200 ms. Although previous studies have employed neutral expressions before and after the emotional expression, research has indicated that micro-expressions may be embedded not only in neutral expressions but also in other facial expressions, such as happiness and sadness.
To date, it remains unknown whether the recognition of micro-expressions is influenced by the types of facial expressions appearing before and after the micro-expression, i.e., the emotional context. A disgust micro-expression occurred between facial expressions (created according to METT ).