Home » News » New Take on Face-Time Challenges Theory of 6 Basic Emotions

New Take on Face-Time Challenges Theory of 6 Basic Emotions

New Take on Face-Time Challenges Theory of 6 Basic EmotionsNew research on facial expressions has led some experts to question whether humans possess six basic emotions.

Mainstream psychological opinion holds that humans possess six basic emotions which are universally recognized and easily interpreted through specific facial expressions, regardless of language or culture: happiness, sadness, fear, anger, surprise, and disgust.

New research published in the journal Current Biology by scientists at the University of Glasgow has challenged this view, and suggested that there are only four basic emotions.

Their conclusion was reached by studying the range of different muscles within the face — or Action Units as researchers refer to them — involved in signaling different emotions, as well as the time-frame over which each muscle was activated.

This is believed to be the first study to objectively examine the “temporal dynamics” of facial expressions, made possible by using a unique research tool (Generative Face Grammar platform) developed at the University of Glasgow.

Researchers claim that while the facial expression signals of happiness and sadness are clearly distinct across time, fear and surprise share a common signal — the wide open eyes — early in the signaling dynamics.

Similarly, anger and disgust share the wrinkled nose. It is these early signals that could represent more basic danger signals.

Later in the signaling dynamics, facial expressions transmit signals that distinguish all six “classic” facial expressions of emotion.

Lead researcher Rachael Jack, Ph.D., said: “Our results are consistent with evolutionary predictions, where signals are designed by both biological and social evolutionary pressures to optimize their function.”

“First,” she said, “early danger signals confer the best advantages to others by enabling the fastest escape.”

Secondly, physiological advantages for the expresser — the wrinkled nose prevents inspiration of potentially harmful particles, whereas widened eyes increases intake of visual information useful for escape — are enhanced when the face movements are made early.

“What our research shows is that not all facial muscles appear simultaneously during facial expressions, but rather develop over time supporting a hierarchical biologically-basic to socially-specific information over time,” she said.

In compiling their research, the team used special techniques and software developed at the University of Glasgow to synthesize all facial expressions.

The Generative Face Grammar — developed by Professor Philippe Schyns, and Drs. Oliver Garrod and Hui Yu — uses cameras to capture a three-dimensional image of faces of individuals specially trained to be able to activate all 42 individual facial muscles independently.

From this a computer can then generate specific or random facial expressions on a 3D model based on the activation of different Actions Units or groups of units to mimic all facial expressions.

By asking volunteers to observe the realistic model as it pulled various expressions – thereby providing a true four-dimensional experience – and state which emotion was being expressed, the researchers are able to see which specific Action Units observers associate with particular emotions.

It was through this method they found that the signals for fear/surprise and anger/disgust were confused at the early stage of transmission and only became clearer later when other Action Units were activated.

“Our research questions the notion that human emotion communication comprises six basic, psychologically irreducible categories. Instead we suggest there are four basic expressions of emotion,” Jack said.

“We show that ‘basic’ facial expression signals are perceptually segmented across time and follow an evolving hierarchy of signals over time — from the biologically-rooted basic signals to more complex socially-specific signals.

“Over time, and as humans migrated across the globe, socioecological diversity probably further specialized once-common facial expressions, altering the number, variety, and form of signals across cultures.”

The researchers intend to develop their study by looking at facial expressions of different cultures. Among them are East Asian populations, which they have already ascertained interpret some of the six classical emotions differently, placing more emphasis on eye signals than mouth movements compared to Westerners.

Source: University of Glasgow

Facial expressions photo by shutterstock.

New Take on Face-Time Challenges Theory of 6 Basic Emotions

Rick Nauert PhD

Rick Nauert, PhDDr. Rick Nauert has over 25 years experience in clinical, administrative and academic healthcare. He is currently an associate professor for Rocky Mountain University of Health Professionals doctoral program in health promotion and wellness. Dr. Nauert began his career as a clinical physical therapist and served as a regional manager for a publicly traded multidisciplinary rehabilitation agency for 12 years. He has masters degrees in health-fitness management and healthcare administration and a doctoral degree from The University of Texas at Austin focused on health care informatics, health administration, health education and health policy. His research efforts included the area of telehealth with a specialty in disease management.

APA Reference
Nauert PhD, R. (2018). New Take on Face-Time Challenges Theory of 6 Basic Emotions. Psych Central. Retrieved on November 24, 2020, from
Scientifically Reviewed
Last updated: 8 Aug 2018 (Originally: 4 Feb 2014)
Last reviewed: By a member of our scientific advisory board on 8 Aug 2018
Published on Psych All rights reserved.