|Alternative Title||A study of facial cues in deception detection|
|Place of Conferral||中国科学院心理研究所|
|Keyword||欺骗检测 巩膜暴露 微表情 模拟犯罪|
Deceptive behavior is common in daily life. People get more living resources by hiding the real information or deliberately providing false information, but the cheated party often suffers from the loss of interests. It is of practical significance to actively explore ways to improve the accuracy of deception detection. There are many colors of facial makeup in Peking Opera, and the different colors usually have specific meanings: red represents loyalty and chivalry, black represents straightforwardness and fortitude, and white represents treachery. Reading information from other people's faces has a long history. People are used to quickly "reading" facial information to judge a stranger and assess their state of mind. Reading facial information can provide important clues to other people's intentions, motivations, and communication, and even detect deception. For nearly half a century, people have believed that psychological states and the nature of personality can be inferred from facial features. This research mainly probes into the effective behavior of facial clues in deception detection, by the people for the interpretation of the information of the facial preferences found the potential for fraud detection facial cues and in simulated experiments validated the crime, to better applied to the actual at the same time, this study is to improve the coding efficiency of facial clues to explore, research on concrete from the following three:
Study 1 (experiment 1, experiment 2) examined the reading preference of facial cues. In experiments 1, stimulus were taken from database CASME Ⅱ, the participants evaluated face image sequence with different types of micro-expression. We mainly selected six types of prime-peak-end frames of happiness, disgust, sadness, fear, surprise, and tension as a group of images. The results of experiment 1 showed that people had certain preferences when reading other people's faces with different micro-expression: fear and nervous faces were more likely to raise doubts, while happy, sad, and surprised faces were more likely to be trusted, and disgust face showed no significant preference. Experiment 2 studied the reading preference in different proportion of pupil and sclera, because of the fear and nervous face contained frown movement, this facial movement led to the eyelids cover the black pupil of the eye, in addition, to change shape, “black eyes” and “white eyes” exposed also decreases, so we explored the white sclera in facial reading preferences by changing the proportion of black and white of the eye (wore lenses or not). The results of experiment 2 showed that people had more distrust of people with more white sclera exposure.
Study 2 (experiment 3, experiment 4) explored the facial clues of deception detection in mock crime. In experiment 3, there were two parts, mock thefts, and mock trials. During the experiment, all the behaviors were determined by the participants, and the high bonus was regarded as the high motivation to deception. The results of experiment 3 showed that when people chose to cheat, they would generate certain facial cues, but these cues have individual differences, and some facial cues were inconsistent with people's reading preference. Happy was generally trusted face by most people, but it was usually produced after deception. Based on experiment 3, experiment 4 increased the low level of deception risk. In the two levels of deception risk, facial cue expression was simulated by pretending to steal and pretending not to steal. Other experimental processes were the same as experiment 3. The results of experiment 4 showed that there was no significant difference in macro expressions as facial cues of deception detection in high and low-risk environments, but the micro-expression at high-risk levels was much than that at a low-risk level. In high level, macro-expressions showed the most fear and surprise, while micro-expression showed the most happiness.
Study 3 efficient coding of facial cues. To promote the practical application of facial cues in deception detection, this study made three active explorations in improving the coding of facial movement: constructing a micro-expression database with deep information, developing two micro-expression coding software and a multi-person online coding platform, micro-expression coding and sharing system. These performances have greatly improved the coding efficiency of facial cues.
This study found people's trust preference when trying to read other people's facial information, verified the facial clues of deception detection through mock crime experiments. We have also developed auxiliary tools and websites for coding facial action information, which can help promote the practical application of deception detection.
|李振. 欺骗检测的面部线索研究[D]. 中国科学院心理研究所. 中国科学院心理研究所,2020.|
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