Executing Facial Control During Deception Situations

Hurley, Carolyn M.; Frank, Mark G.

doi:10.1007/s10919-010-0102-1

Cited by 57 publications

(44 citation statements)

References 29 publications

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“…Although people have the ability to mask facial movements, studies suggest that certain expressions may be easier to conceal than others (e.g., Hurley & Frank, 2011;Porter & ten Brinke, 2008). Given the wide array of expressions we are able to display, we have chosen to focus on two emotional expressions: disgust-a negative emotion, and happiness-a positive emotion.…”

Section: Emotion Suppressionmentioning

confidence: 99%

Diversity from within: The Impact of Cultural Variables on Emotion Expressivity in Singapore

Hurley¹,

Teo²,

Kwok³

et al. 2016

IJPS

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Culture is intrinsically linked with emotion expression, as culture provides rules regarding how to manage emotions when they occur. Thus far, existing literature has extensively compared norms for emotional expression and suppression, revealing significant differences among culturally distinct but also geographically distant groups (e.g., "collectivistic" Chinese versus "individualistic" U.S. Americans). The present study examines the impact of cultural diversity within Singapore, a heterogeneous Asian nation of 5.4 million residents. Using an expression suppression paradigm, eighty-three participants viewed emotion eliciting video clips and their expressions were analyzed according to the Emotion Facial Action Coding System (EmFACS, Ekman, Irwin, & Rosenberg, 1994) for signs of happiness and disgust. Participants tasked to manage their expression were successful; however cultural indicators such as ethnicity, collectivism, and concern for face affected expressivity under both suppression and natural expression conditions. These results emphasize the importance of exploring culture within national boundaries, as multiple cultural factors (e.g., ethnic groupings, values, and face) influenced expression.

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Section: Emotion Suppressionmentioning

confidence: 99%

Diversity from within: The Impact of Cultural Variables on Emotion Expressivity in Singapore

Hurley¹,

Teo²,

Kwok³

et al. 2016

IJPS

Self Cite

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show abstract

“…This was tested when lying participants were specifically instructed to conceal their expressions of fear or happiness when being interrogated; the results showed that although participants were able to successfully decrease the intensity and the duration of their facial expressions, almost all of them nonetheless still showed signs of these emotions (Hurley and Frank 2011).…”

Section: What Is the Role Of Microexpressions In Lying?mentioning

confidence: 99%

Microexpressions and Deception

Frank

Svetieva

2014

Understanding Facial Expressions in Communication

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“…Similarly in [67], participants were told to steal movie tickets. Compared to [63], these experiments have raised the stakes since it simulated a forensic scenario.…”

Section: Review Of Current Deceptive Facial Expression Databasesmentioning

confidence: 99%

“…Recently, Hurley and Frank [67] have also shown that emotional leakage happens everywhere on the face and that facial countermeasures are very rare.…”

Section: Psychological Theoriesmentioning

confidence: 99%

Does “lie to me” lie to you? An evaluation of facial clues to high-stakes deception

Lin

Levine

2016

Computer Vision and Image Understanding

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During a forensic interview, high-stakes deception is very prevalent notwithstanding the heavy consequences that may result. Studies have shown that most untrained people cannot perform well in discerning liars and truth-tellers.Thus it has become common to adopt various technical aids to compensate for this poor judgment. Examples are polygraphs, functional Magnetic Resonance Imaging (fMRI) and linguistic analysis. However, the deception indicators used in these cases are not reliable.In the popular TV program Lie to Me, micro-expressions have been used for detecting deceit during the investigation of some criminal cases. A microexpression is considered to be a rapid and involuntary facial expression which could reveal the concealed emotion. Additionally, some psychological studies have stated that certain facial actions are more difficult to inhibit if the associated facial expressions are genuine. Similarly, these facial expressions are equally difficult to fake. This has cast light on the possibility that deception could be detected by analyzing these facial actions. However, to the best knowledge of the author, there is no computer vision research that has attempted to discriminate high-stakes deception from truth using facial expressions. Therefore, this thesis aims to test the validity of facial clues to deception detection in high-stakes situations using computer vision approaches.We note that only a limited number of the existing databases have been collected specifically for deception detection studies and none of them were obtained from real-world situations. In this thesis we present a video database of actual highstakes situations, which we have created using YouTube.We have adopted 2D appearance-based methods as the methodology to characterize the 3D facial features. Instead of building a 3D head model as is the current trend, we have extracted invariant 2D features that are related to the 3D characteristic.iii In order to discern deception and honesty, we have identified the following deceptive cues from nine separate facial regions through dynamic facial analysis: eye blink, eyebrow motion, wrinkle occurrence and mouth motion. Then these cues were integrated to form a facial behavior pattern vector. A Random Forest was trained using the collected database and applied to classify the facial patterns into deceptive and truthful categories.Despite the many uncontrolled factors (illumination, head pose and facial occlusion) in the videos in our database, we have achieved an accuracy of 76.92% when discriminating liars from truth-tellers using both micro-expressions and

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Executing Facial Control During Deception Situations

Cited by 57 publications

References 29 publications

Diversity from within: The Impact of Cultural Variables on Emotion Expressivity in Singapore

Diversity from within: The Impact of Cultural Variables on Emotion Expressivity in Singapore

Microexpressions and Deception

Does “lie to me” lie to you? An evaluation of facial clues to high-stakes deception

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