About FACEDIFF
Individual differences in facial expressivity: Social function, facial anatomy and evolutionary origin
We use facial expressions to communicate. This kind of relatively simple language plays an important role in our social life. From person to person, however, it can differ greatly. It can also be affected by specific medical or psychological disorders. However, the social function, anatomy and evolution of these individual differences in facial expressions have yet to be understood. The 5-year (2020-2025) ERC-funded FACEDIFF project will pioneer an interdisciplinary study investigating the cause of differentiation in facial expression and how this results in benefits or costs in an individual’s social engagement. FACEDIFF will use various (psychological, anatomical and cross-species) methods to measure differences in individual production and perception of facial expressions, tracing their evolutionary determinants.
First, individual variation in production and perception of facial expressions will be measured via laboratory experiments and in relation to social network size and quality. Second, variation in human facial musculature will be documented through cadaveric dissection and existing MRI databases. Third, facial expressivity will be examined in a primate model to determine whether patterns are unique to humans. This project will be the first to provide a comprehensive and interdisciplinary perspective on individual differences in facial expression and will stimulate new theories on the function and evolution of individual differences in humans.
FACEDIFF project overview showing the role of each work package (WP). WP1 will test how individual differences in facial expressivity are related to individual social networks. WP2 will assess population variance in facial musculature in humans and macaques. WP3 will test how individual differences in facial expressivity (underpinned by musculature) are related to social networks in a nonhuman primate comparison. WP4 will integrate the data from the three WPs to determine the overarching relationship between anatomy, expressivity and social network formation in an evolutionary context.
FACEDIFF is led by Professor Bridget Waller based at Nottingham Trent University, in collaboration with the University of Liverpool, University of Portsmouth, and the Medical Research Council Centre for Macaques.
The FACEDIFF Team
Dr Jerome Micheletta
Reader in Animal Behaviour
- External collaborator for primate research
Human behaviour team
WP1
Anatomy team
WP2
Dr Claire Tierney
Lecturer in Anatomy
- Leading human anatomy
projects
Prof Anne Burrows
Professor
- External collaborator for
primate dissections
Dr Eithne Kavanagh
Research Fellow
- Leading human projects
Olivia O'Callaghan
PhD student
Dr Claire Witham
Head of Scientific Programs
MRC Centre For Macaques
- External collaborator for primate research
Kerensa Rees
Research Assistant
Dr Peter Clark
Research Fellow
Jasmine Rollings
Research Fellow
- Data collection human participants
Dr Clare Kimock
Research Fellow
- Leading macaque field research
Alisa Balabanova
PhD student
Prof Bridget M. Waller
Professor of Evolution & Social Behaviour
- Principal Investigator
- Grant Awardee
Primate behaviour team
WP3
Ongoing Projects
Can facial expressivity be measured by self-report?
Individuals seem to differ in overall facial expressivity, which may reflect how successfully individuals use facial expressions as social tools. Measurement of spontaneous facial expression, however, can be time consuming. In our study we develop a reliable and valid instrument to measure individuals’ facial expres-sivity by administering a 38-item preliminary question-naire to 400 participants online. We will test the efficacy of this questionnaire in reflecting participants’ actual use of facial expression, by comparing their scores to their facial movement in a video call designed to mimic a naturalistic social interaction, along with other tests of reliability and validity. Our final instrument will facilitate research testing the social function of facial expression and the impact of individual differences in overall expressivity.
Automated measures of expressivity in macaques
Manual observation of subjects and any subsequent video coding can be highly demanding on researcher time and resource. As a consequence, the amount of data able to be collected and processed is limited. Here, using a facial landmark tracking system developed in DeepLabCut, we attempt to automatically extract facial movements in captive macaques. If successful, this approach will allow us (and others) to potentially produce bigger and richer expressivity datasets. This sub-project is lead by Dr. Claire Witham and her students.
Signal value of stress behaviour
Physiological and psychological stress is often accompanied with nonverbal behaviour (self-directed displacement behaviour). The function of this behaviour is not well understood but is often assumed to be read by others as a cue to stress. Here, we test whether such behaviours are reliable indicators of stress in humans. Both behaviour and self-reported stress ratings given by stressed participants were positively associated with the stress ratings provided by observers and therefore, such behaviours can provide reliable information to others. Observers differed in their ability to detect stress from nonverbal cues which may relate to real-world social skills as it appears associated with the individuals’ social network size.
Jobs and positions available
Research Assistant in Primate Behaviour
