Investigating Gender Differences in Facial Expressiveness during Personal Narratives Using a Modified FACES Protocol Skip to main content
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2024 Abstracts

Investigating Gender Differences in Facial Expressiveness during Personal Narratives Using a Modified FACES Protocol

Authors: Leila Moore, Marin Farnsworth
Mentors: Tyson Harmon
Insitution: Brigham Young University

Background:

Facial expressions are crucial for understanding human emotions in communication. Coding and quantifying these expressions, however, have often been subjective, leading to issues with reliability and consistency (Kring and Sloan, 2007). To address this, we have modified the Facial Expression Coding System (FACES) protocol (Kring and Sloan, 2007), which traditionally relies on subjective interpretation. Our modified protocol employs a more objective approach by quantifying facial expressions based on the counting of facial units (e.g., eyes, corners of the mouth, eyebrows, and teeth). Each intensity rating corresponds to a certain number of facial units. For example, an expression involving one facial unit would receive an intensity rating of one whereas an expression involving two units would receive an intensity rating of two.

Multiple studies have found that women are more emotionally expressive than men overall when considering gestures, body language, facial expressions, and tone of voice (Ashmore, 1990; Brody & Hall, 1993; Hall, 1984). Rather than focusing on overall emotional expressiveness, though, the present study aims to understand how gender impacts the production of emotional facial expressions specifically.

Method:

The proposed study aims to compare the frequency and intensity of facial expressions produced by men versus women when recounting personal narratives.

Participants. Video footage from participants with and without aphasia producing personal narrative discourse will be obtained for equal numbers of male and female participants. Samples will include two personal narratives in response to prompts from the interviewer. The first prompt is to speak of an experience the participant has had with illness/injury/stroke, and the second prompt is to talk about an important event that has happened in their life.

Procedure. A modified FACES protocol will be used to code facial expressions in videos obtained from AphasiaBank. The coding process is conducted with the audio muted to help eliminate distractions. The modified FACES protocol includes specific, operationalized criteria for what qualifies as a facial expression. This protocol does not include coding non-facial gestures or eye movements. However, we do take into account the narrowing and widening of eyes in addition to instances when the eyes are opened or closed with intention. A critical question we ask during coding is whether the facial expression conveys emotional content. We have established standards for intensity ratings and will outline how we arrived at these standards, as well as the distinctions between intensity ratings one, two, three, and four. The analysis process includes establishing a baseline expression for each participant and coding for 20 minutes before taking a break to maintain energy and productivity and to ensure accuracy in data collection. Additionally, secondary coding and a final pass for gestalt ratings are performed to ensure comprehensive analysis.

Data Analysis. To address our research questions, we will conduct a comprehensive analysis, focusing on our participants' facial expressiveness during personal narrative storytelling. The analysis will involve quantifying the frequency of facial expressions exhibited by the participants. Additionally, we will consider the valence of these expressions, distinguishing between positive and negative emotional content. We will also assess the intensity of facial expressions by counting the number of facial units engaged during each expression. This examination of facial data will allow us to discern not only the prevalence of expressions but also emotional content and intensity, ultimately providing a more in-depth understanding of the gender differences in non-verbal communication during personal narratives.

Anticipated Results:

Our study aims to explore if there is a statistically significant difference in the quantity, valence, and intensity of facial expressions between men and women. By using a standardized approach for measuring emotional facial expression production, we hope to shed light on the nuances of non-verbal communication during personal narratives and contribute to a better understanding of gender differences in emotional expression. Consistent with previous research, we anticipate that females will produce more frequent and intense emotional facial expressions than males (Ashmore, 1990; Brody & Hall, 1993; Hall, 1984).

References:

Ashmore, R. D. (1990). Sex, gender, and the individual. In L. A. Pervin (Ed.), Handbook of personality: Theory and research (pp. 486-526). New York: Guilford Press.

Brody, L. R., & Hall, J. A. (1993). Gender and emotion. In M. Lewis & J. M. Haviland (Eds.), Handbook of emotions (pp. 447-460). New York: Guilford Press.

Hall, J. A. (1984). Nonverbal sex differences: Communication accuracy and expressive style. Baltimore: Johns Hopkins University Press.

Kring, A. M., & Sloan, D. M. (2007). The facial expression coding system (FACES): Development, validation, and utility. Psychological Assessment, 19(2), 210–224. https://doi.org/10.1037/1040-3590.19.2.210.