Frontiers Research Topic 

"Discrimination of Genuine and Posed Facial Expressions of Emotion"

More information: 

https://www.frontiersin.org/research-topics/9221/discrimination-of-genuine-and-posed-facial-expressions-of-emotion 

About this Research Topic

Facial expressions demonstrate one emotional states in interpersonal situations. Evidence shows that part of the facial display reflects the emotional experience that is literally felt by the expresser. Interestingly, human beings are capable of identifying facial expressions of the felt emotions as a form of intentional deception to conduct social interaction and to stage displays that have the support of others. Staged or posed facial expressions implement an emotion that an expresser intends to convey, where genuine expressions are considered as the companion of spontaneous emotional expressions. The ability to differentiate genuine displays of emotional experience from posed ones is very important for dealing with day-to-day social interactions. 

Recent work has been conducted on whether or not people can distinguish between posed and genuine displays of emotion. In spite of few studies to investigate this ability, most prior research suggests that people have the ability to judge genuine and posed facial displays. Unfortunately, previous research has suffered from two major shortcomings: (1) the mixture of staged and genuine displays due to the lack of accounting for possible effects of intentional manipulation, and (2) struggling to consider dynamic aspects when people prepare facial stimuli for experimental investigation. 

This Research Topic encourages the submission of theoretical and experimental perspectives to broaden understanding of the importance of the discrimination of genuine and posed facial expressions of emotion. These may be new theoretical approaches, those from other disciplines of psychology not usually utilized within the discrimination of genuine and staged emotion identification or new theories and designs. 

We seek articles that present new hypotheses, concepts, experimental observations, and theories or models; demonstrate how theories adapted from other disciplines may be utilized for emotion identification or provide recommendations to improve current models or theories to enhance their capacity. We look for papers that may combine critical analysis of current models, synthesis of early empirical work by single- or multi-modality analysis (e.g. video, ECG, EEG, fMRI, and single cells in humans and/or animals), and explore the potential for their development applied to the context of emotion recognition. 

Submissions of systematic reviews and meta-analysis should discuss and promote comprehensive approaches to update and evolve concepts, hypotheses, and theories with potential applications in the community.

Keywords: face expression, discrimination, genuine, posed, emotion

Guest editors:

Huiyu Zhou, Department of Informatics, University of Leicester, United Kingdom.

Caroline Ling Li, School of Computing, University of Kent, United Kingdom. 

Shiguang Shan, Institute of Computing Technology, Chinese Academy of Sciences, China. 

Shuo Wang, Chemical and Biomedical Engineering, West Virginia University, United States.

Jian Liu, Centre for Systems Neuroscience, University of Leicester, United Kingdom.