Cynthia Roy

The eyes are not the window to basic emotions

Facial expressions are one of the most important ways to communicate our emotional state. In popular culture and in the scientific literature on face processing, the eye area is often conceived as a very important - if not the most important - cue for the recognition of facial expressions. In support of this, an underutilization of the eye area is often observed in clinical populations with a deficit in the recognition of facial expressions of emotions. Here, we used the Bubbles technique to verify which facial cue is the most important when it comes to discriminating between eight static and dynamic facial expressions (i.e., six basic emotions, pain and a neutral expression). We found that the mouth area is the most important cue for both static and dynamic facial expressions. We conducted an ideal observer analysis on the static expressions and determined that the mouth area is the most informative. However, we found an underutilization of the eye area by human participants in comparison to the ideal observer. We then demonstrated that the mouth area contains the most discriminative motions across expressions. We propose that the greater utilization of the mouth area by the human participants might come from remnants of the strategy the brain has developed with dynamic stimuli, and/or from a strategy whereby the most informative area is prioritized due to the limited capacity of the visuo-cognitive system.

Efficient information for recognizing pain in facial expressions.

The face as a visual stimulus is a reliable source of information for judging the pain experienced by others. Until now, most studies investigating the facial expression of pain have used a descriptive method (i.e. Facial Action Coding System). However, the facial features that are relevant for the observer in the identification of the expression of pain remain largely unknown despite the strong medical impact that misjudging pain can have on patients’ well‐being.

Eye fixation patterns for categorizing static and dynamic facial expressions.

Facial expressions of emotion are dynamic in nature, but most studies on the visual strategies underlying the recognition of facial emotions have used static stimuli. The present study directly compared the visual strategies underlying the recognition of static and dynamic facial expressions using eye tracking and the Bubbles technique. The results revealed different eye fixation patterns with the 2 kinds of stimuli, with fewer fixations on the eye and mouth area during the recognition of dynamic than static expressions. However, these differences in eye fixations were not accompanied by any systematic differences in the facial information that was actually processed to recognize the expressions.