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 Eithne Kavanagh

      Research Fellow

      - Leading human projects

      Dr Jasmine Rollings

      External collaborator

      Alisa Balabanova

      PhD student

      Andrew Buckee

      Research Assistant (WP1 + WP3)

      Human behaviour team

      WP1

      Dr Claire Tierney 

      Lecturer in Anatomy

      - Collaborator for human

      anatomy projects

      Prof Anne Burrows 

      Professor

      - External collaborator for

      primate dissections

      Anatomy team

      WP2

      Dr Jamie Whitehouse

      Research Fellow

      - Leading non-human primate projects

      Pantelina Syrimi

      Research assistant

      Dr Jerome Micheletta

      Reader in Animal Behaviour

      - External collaborator for primate research

      Dr Claire Witham

      Head of Scientific Programs

      MRC Centre For Macaques

      - External collaborator for primate research

      Dr Clare Kimock

      Research Fellow (WP2+3)

      - Leading macaque field research and supporting macaque anatomical work

      Prof Bridget M. Waller

      Professor of Evolution & Social Behaviour

      - Principal Investigator

      - Grant Awardee

      Olivia O'Callaghan

      PhD student

      Kerensa Rees

      Research Assistant

      Dr Peter Clark

      Lecturer in Psychology

      - External collaborator

      Rachel Robinson

      PhD student

      Primate behaviour team

      WP3

      Ongoing Projects

      Being facially expressive is socially advantageous


      Individuals vary in how they move their faces in everyday social interactions. In a first large-scale study, we measured variation in dynamic facial behaviour during social interaction and examined dyadic outcomes and impression formation. In Study 1, we recorded semi-structured video calls with 52 participants interacting with a confederate across various everyday contexts. Video clips were rated by 176 independent participants. In Study 2, we examined video calls of 1315 participants engaging in unstructured video-call interactions. Facial expressivity indices were extracted using automated Facial Action Coding Scheme analysis and measures of personality and partner impressions were obtained by self-report. Facial expressivity varied considerably across participants, but little across contexts, social partners or time. In Study 1, more facially expressive participants were more well-liked, agreeable, and successful at negotiating (if also more agreeable). Participants who were more facially competent, readable, and perceived as readable were also more well-liked. In Study 2, we replicated the findings that facial expressivity was associated with agreeableness and liking by their social partner, and additionally found it to be associated with extraversion and neuroticism. Findings suggest that facial behaviour is a stable individual difference that proffers social advantages, pointing towards an affiliative, adaptive function.


      Kavanagh, E., Whitehouse, J., & Waller, B. M. (2024). Being facially expressive is socially advantageous.Scientific Reports,14(1), 12798.

      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.


      Whitehouse, J., Milward, S. J., Parker, M. O., Kavanagh, E., & Waller, B. M. (2022). Signal value of stress behaviour.Evolution and human behavior,43(4), 325-333.

      Facial expressivity benefits top ranking male macaques


      Social living affords primates (including humans) many benefits. Communication has been proposed to be the key mechanism used to bond social connections, which could explain why primates have evolved such expressive faces. In this study, we compare social network data and expressivity indices between captive macaque groups in uniform physical and social environments. We find that facially expressive dominant male macaques had more cohesive social groups and were more socially connected within their groups. These findings show that inter-individual differences in facial expressivity are related to differential social outcomes at both an individual and group level. More expressive individuals occupy more advantageous social niches, which could help explain selection for complex facial communication in primates.


      Whitehouse, J., Clark, P. R., Robinson, R. L., Rees, K., O’Callaghan, O., Kimock, C. M., ... & Waller, B. M. (2024). Facial expressivity in dominant macaques is linked to group cohesion.Proceedings of the Royal Society B,291(2027), 20240984.

      Linking individual variation in facial musculature to facial behaviour in rhesus macaques


      Primates use movements of the face, produced by muscles of facial expression, to communicate. Facial muscles exhibit marked inter-individual variation, but how individual differences in these muscles impact facial behaviour is unknown. In this study, we are investigating intra-individual relationships between facial muscle morphology and facial behaviour to capture within-species patterns of covariation between facial muscle form and function, combining anatomical dissections with ethological observations. Our results will highlight how facial musculature may underpin observed facial behaviour in a non-human primate species and help us understand the form and function of within-species variation in facial musculature.

      Maternal care predicts facial expression processing in macaques (led by Olivia O'Callaghan)


      Facial expressions are common across mammals and are essential for social communication. In humans, a rich early social environment is important for the appropriate development of facial expression processing. Whether other animals are similarly reliant on social input for facial expression development, or have a more fixed inherent system, is unknown. Here, we investigated how maternal care influences facial expression processing skills in rhesus macaques (Macaca mulatta). We conducted three experiments quantifying facial expression processing and examined performance in relation to historical maternal data and across age. Facial expression processing skill was predicted by positive social contact with the mother during infancy and increased with age until adulthood. Our findings provide the first evidence that early social input, specifically maternal care, enhances facial expression processing skills in non-human animals. This challenges the long-standing notion that facial expression processing is hard-wired and innate, and instead suggests a flexible system responsive to local conditions.

      Facial expressivity predicts social popularity (led by Alisa Balabanova)


      Complex mechanisms have evolved in humans to aid uniquely close and cooperative group living. Facial expressions are produced frequently during interpersonal communication and can express internal states, punctuate language and demonstrate attention to others. However, whether use of facial expressions has adaptive value by leveraging a social advantage and aiding group cohesion is not well evidenced. Here, we tested the relationship between facial expressivity and the formation of interpersonal connections in an informal, online group setting. Participants (previously unacquainted) met in groups of three or four (N=256; in 72 groups) in an unstructured online video call interaction.  We extracted facial expressivity during 5min-long interactions based on automated Facial Action Coding Scheme analysis and obtained partner perception measures by self-report.  Using social network analysis, we calculated network centrality based on participants’ liking judgements as a measure of social popularity.  Participants were also rated on attractiveness by 620 independent raters. Results indicated that more facially expressive individuals occupied more central positions within their group, and were perceived as warmer and more cooperative. Interestingly, attractiveness did not predict popularity. Facial expressivity may enhance popularity by demonstrating increased behavioural predictability and/or honest signalling, characteristics important for group living. Our findings suggest, therefore, that facial behaviour aids the formation of social ties and has evolved as a key adaptive mechanism in group social cohesion. 

      Outputs

      Peer reviewed publications



      Whitehouse, J., Clark, P. R., Robinson, R. L., Rees, K., O’Callaghan, O., Kimock, C. M., ... & Waller, B. M. (2024). Facial expressivity in dominant macaques is linked to group cohesion. Proceedings of the Royal Society B,291(2027), 20240984.


      Kavanagh, E., Whitehouse, J., & Waller, B. M. (2024). Being facially expressive is socially advantageous .Scientific Reports,14(1), 12798.


      Rollings, J., Kavanagh, E., Balabanova, A., Keane, O., & Waller, B. M. (2024). Facial behaviour and first impressions in computer mediated communication. Computers in Human Behavior,161, 108391.


      Clark, P. R., Waller, B. M., Agil, M., & Micheletta, J. (2022). Crested macaque facial movements are more intense and stereotyped in potentially risky social interactions. Philosophical Transactions of the Royal Society B, 377(1860), 20210307.


      Kavanagh, E., Kimock, C., Whitehouse, J., Micheletta, J., & Waller, B. M. (2022). Revisiting Darwin's comparisons between human and non-human primate facial signals. Evolutionary human sciences, 4, e27.


      Whitehouse, J., Milward, S. J., Parker, M. O., Kavanagh, E., & Waller, B. M. (2022). Signal value of stress behaviour. Evolution and Human Behavior.

       

      Waller, B. M., Kavanagh, E., Micheletta, J., Clark, P. R., & Whitehouse, J. (2022). The face is central to primate multicomponent signals. International Journal of Primatology, 1-17.

       

      Rollings, J., Micheletta, J., Van Laar, D., & Waller, B. M. (2022). Personality traits predict social network size in older adults. Personality and Social Psychology Bulletin, 01461672221078664.


      Julle-Danière, E., Whitehouse, J., Vrij, A., Gustafsson, E., & Waller, B. M. (2020). The social function of the feeling and expression of guilt. Royal Society open science, 7(12), 200617.

      Jobs and positions opportunities

      PhD Opportunity.

      Deadline 14th February 2025


      Using imaging spectroscopy to measure individual differences in facial expressivity in human and non-human primates


      Click here for more information and to apply


      Humans have evolved the most expressive faces of all mammals, with facial musculature capable of a wide range of subtle and complex movement (Waller et al., 2020). These facial movements can signal important social information during social interaction with others, such as emotion, intentions, motivation and potential action. However, individuals vary considerably in the extent to which they move their faces (facial expressivity), which results in differential social outcomes (Kavanagh et al., 2024). The phenotypic variation of facial expressivity likely results from interacting factors: facial anatomy, individual response to local environment and health. An interdisciplinary approach that fully integrates the multiple factors that contribute to facial expressivity is necessary to understand the causes and social/health consequences of facial expressivity.


      In this PhD project you will use a novel interdisciplinary approach to measure individual differences in the facial anatomy of human and non-human primate faces.Imaging spectroscopy can record tissue oxygen saturation, lipid, protein and water content in facial tissues, thermal imaging can record temperature of the facial tissues, and therefore this multi-modal imaging approach has the potential to be used as a fine-grained indicator of neuromuscular facial muscle composition and activity. All imaging techniques mentioned here are mobile and non-invasive.


      We will use multipleimaging techniques from the visible to the infrared to 1) measure individual differences in lipid, protein and oxygenation distribution in human facial soft tissue during social interaction, 2) examine how these differences relate to health and social outcomes and 3) conduct a cross-species comparison with a non-human primate model (Macaca spp: macaques) to better understand the evolutionary selection pressures. The project would suit a candidate with a background in biological/psychological sciences or physical/engineering sciences, with a strong technical component and coding experience. The supervisory team will be cross-discipline in both the social and physical sciences.


      Supervisory Team

      Professor Bridget Waller

      Professor Haida Liang

      Dr Jamie Whitehouse

      Anyone interesting in joining the team, contact us! 

      Research Assistants


      We are happy to consider individuals for short term research assistant work if your skills are aligned with the project, and there is work currently available. This could include data collection, coding, or conducting complementary research projects. Please send serious enquiries along with your CV to bridget.waller@ntu.ac.uk or contact@facediff.co.uk!

      Contact Us

      For more infomation, please email bridget.waller@ntu.ac.uk, or through the form below

       
       
       
       

      Acknowledgments


      This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant agreement No. 864694)


      The study Signal Value of Stress was funded in part by a British Academy small research grant SRG18R1\180883