Detecting Deception from Emotional and Unemotional Cues

By Gemma C. Warren, Elizabeth Schertler, Peter Bull. 2009

194 citations recorded by the source corpus.

Subfields: Clinical Psychology, Social Psychology, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/bc4de9813e90e2d973a1a0039fca0d6ad79a6f06

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Clinical Psychology

1. H. C. Hwang
2. Dawn A. Matsumoto

In Social Psychology

1. Guoying Zhao
2. H. C. Hwang
3. Yong-jin Liu
4. Xiaobai Li
5. Matti Pietikäinen
6. Tomas Pfister
7. Xiaohua Huang
8. Xiaolan Fu

In Sociology and Political Science

1. H. C. Hwang
2. Xiaolan Fu
3. Dawn A. Matsumoto
4. Qi Wu
5. Yong-jin Liu
6. Wen-Jing Yan

Citations in the corpus

• How Fast are the Leaked Facial Expressions: The Duration of Micro-Expressions (2013, background): “Third, most of the microexpressions found in our study were partial movements, which are also considered as subtle expression in some situations (Warren et al. 2009).”
• CASME database: A dataset of spontaneous micro-expressions collected from neutralized faces (2013, background): “Micro-expressions were found in 9 participants (3 male and 6 female) [10][13].”
• Recognising spontaneous facial micro-expressions (2011, methodology): “[17] recorded 20 videos for a deception detection test (DDT) as part of a psychological study.”
• Towards Reading Hidden Emotions: A Comparative Study of Spontaneous Micro-Expression Spotting and Recognition Methods (2015, background): “This is because spontaneous MEs can appear during the presence of an ordinary FE (with either the same or the opposite valence of emotion [4], [33]), and sometimes they overlap with the occurrences of eye blinks, head movements and other motions.”
• Video-Based Facial Micro-Expression Analysis: A Survey of Datasets, Features and Algorithms (2021, background): “Furthermore, as previous research has indicated that many deceptive behaviors are dependent on individual differences [124], we conjecture that micro-expression behavior is likely subject-dependent and MMEW dataset provides a new platform for both subject-dependent and subject-independent research i”
• Evidence for training the ability to read microexpressions of emotion (2011, background): “Several studies have 699 already documented that the ability to recognize microex700 pressions is correlated with the ability to detect deception 701 (Frank and Ekman 1997; Warren et al. 2009).”