Converging Evidence for the Advantage of Dynamic Facial Expressions

2011 ◽  
Vol 24 (2) ◽  
pp. 149-163 ◽  
Author(s):  
Marie Arsalidou ◽  
Drew Morris ◽  
Margot J. Taylor
Keyword(s):  
Facial Expressions ◽  
Dynamic Facial Expressions

scholarly journals Building an Emotionally Responsive Avatar with Dynamic Facial Expressions in Human—Computer Interactions

2021 ◽  
Vol 5 (3) ◽  
pp. 13
Author(s):  
Heting Wang ◽  
Vidya Gaddy ◽  
James Ross Beveridge ◽  
Francisco R. Ortega
Keyword(s):  
Facial Expressions ◽  
Descriptive Analysis ◽  
Uncanny Valley ◽  
Human Computer Interactions ◽  
Basic Emotions ◽  
Subjective Responses ◽  
Dynamic Facial Expressions ◽  
Nasa Tlx ◽  
Computer Interactions

The role of affect has been long studied in human–computer interactions. Unlike previous studies that focused on seven basic emotions, an avatar named Diana was introduced who expresses a higher level of emotional intelligence. To adapt to the users various affects during interaction, Diana simulates emotions with dynamic facial expressions. When two people collaborated to build blocks, their affects were recognized and labeled using the Affdex SDK and a descriptive analysis was provided. When participants turned to collaborate with Diana, their subjective responses were collected and the length of completion was recorded. Three modes of Diana were involved: a flat-faced Diana, a Diana that used mimicry facial expressions, and a Diana that used emotionally responsive facial expressions. Twenty-one responses were collected through a five-point Likert scale questionnaire and the NASA TLX. Results from questionnaires were not statistically different. However, the emotionally responsive Diana obtained more positive responses, and people spent the longest time with the mimicry Diana. In post-study comments, most participants perceived facial expressions on Diana’s face as natural, four mentioned uncomfortable feelings caused by the Uncanny Valley effect.

scholarly journals Higher affective congruency in the approach-avoidance task is associated with insular deactivation to dynamic facial expressions

2021 ◽  
Vol 151 ◽  
pp. 107734
Author(s):  
Katia M. Harlé ◽  
Alan N. Simmons ◽  
Jessica Bomyea ◽  
Andrea D. Spadoni ◽  
Charles T. Taylor
Keyword(s):  
Facial Expressions ◽  
Avoidance Task ◽  
Dynamic Facial Expressions ◽  
Approach Avoidance

Emotional recognition of dynamic facial expressions before and after cochlear implantation in adults with progressive deafness

2017 ◽  
Vol 354 ◽  
pp. 64-72 ◽  
Author(s):  
Emmanuèle Ambert-Dahan ◽  
Anne-Lise Giraud ◽  
Halima Mecheri ◽  
Olivier Sterkers ◽  
Isabelle Mosnier ◽  
...  
Keyword(s):  
Facial Expressions ◽  
Cochlear Implantation ◽  
Emotional Recognition ◽  
Dynamic Facial Expressions ◽  
Before And After

scholarly journals Distinct facial expressions represent pain and pleasure across cultures

2018 ◽  
Vol 115 (43) ◽  
pp. E10013-E10021 ◽  
Author(s):  
Chaona Chen ◽  
Carlos Crivelli ◽  
Oliver G. B. Garrod ◽  
Philippe G. Schyns ◽  
José-Miguel Fernández-Dols ◽  
...  
Keyword(s):  
Facial Expressions ◽  
Mental Representations ◽  
Affective States ◽  
Information Theoretic ◽  
Complementary Approach ◽  
Dynamic Facial Expressions ◽  
Negative Affective States ◽  
Affective Experiences ◽  
New Research

Real-world studies show that the facial expressions produced during pain and orgasm—two different and intense affective experiences—are virtually indistinguishable. However, this finding is counterintuitive, because facial expressions are widely considered to be a powerful tool for social interaction. Consequently, debate continues as to whether the facial expressions of these extreme positive and negative affective states serve a communicative function. Here, we address this debate from a novel angle by modeling the mental representations of dynamic facial expressions of pain and orgasm in 40 observers in each of two cultures (Western, East Asian) using a data-driven method. Using a complementary approach of machine learning, an information-theoretic analysis, and a human perceptual discrimination task, we show that mental representations of pain and orgasm are physically and perceptually distinct in each culture. Cross-cultural comparisons also revealed that pain is represented by similar face movements across cultures, whereas orgasm showed distinct cultural accents. Together, our data show that mental representations of the facial expressions of pain and orgasm are distinct, which questions their nondiagnosticity and instead suggests they could be used for communicative purposes. Our results also highlight the potential role of cultural and perceptual factors in shaping the mental representation of these facial expressions. We discuss new research directions to further explore their relationship to the production of facial expressions.

Classification of dynamic facial expressions of emotion presented briefly

2013 ◽  
Vol 27 (8) ◽  
pp. 1486-1494 ◽  
Author(s):  
Guillermo Recio ◽  
Annekathrin Schacht ◽  
Werner Sommer
Keyword(s):  
Facial Expressions ◽  
Dynamic Facial Expressions ◽  
Facial Expressions Of Emotion

scholarly journals Enhanced emotional and motor responses to live versus videotaped dynamic facial expressions

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Chun-Ting Hsu ◽  
Wataru Sato ◽  
Sakiko Yoshikawa
Keyword(s):  
Social Interactions ◽  
Facial Expressions ◽  
Real Life ◽  
Emotional Reactions ◽  
Emg Activity ◽  
Subjective Ratings ◽  
Emotional Facial Expressions ◽  
Facial Mimicry ◽  
Corrugator Supercilii ◽  
Dynamic Facial Expressions

Abstract Facial expression is an integral aspect of non-verbal communication of affective information. Earlier psychological studies have reported that the presentation of prerecorded photographs or videos of emotional facial expressions automatically elicits divergent responses, such as emotions and facial mimicry. However, such highly controlled experimental procedures may lack the vividness of real-life social interactions. This study incorporated a live image relay system that delivered models’ real-time performance of positive (smiling) and negative (frowning) dynamic facial expressions or their prerecorded videos to participants. We measured subjective ratings of valence and arousal and facial electromyography (EMG) activity in the zygomaticus major and corrugator supercilii muscles. Subjective ratings showed that the live facial expressions were rated to elicit higher valence and more arousing than the corresponding videos for positive emotion conditions. Facial EMG data showed that compared with the video, live facial expressions more effectively elicited facial muscular activity congruent with the models’ positive facial expressions. The findings indicate that emotional facial expressions in live social interactions are more evocative of emotional reactions and facial mimicry than earlier experimental data have suggested.

scholarly journals Dynamic human and avatar facial expressions elicit differential brain responses

2020 ◽  
Vol 15 (3) ◽  
pp. 303-317 ◽  
Author(s):  
Lorena C Kegel ◽  
Peter Brugger ◽  
Sascha Frühholz ◽  
Thomas Grunwald ◽  
Peter Hilfiker ◽  
...  
Keyword(s):  
Facial Expressions ◽  
Motion Tracking ◽  
Inferior Frontal Gyrus ◽  
Cingulate Gyrus ◽  
Posterior Cingulate Gyrus ◽  
Brain Responses ◽  
Dynamic Facial Expressions ◽  
Subcortical Regions ◽  
Human Faces ◽  
Posterior Superior Temporal Sulcus

Abstract Computer-generated characters, so-called avatars, are widely used in advertising, entertainment, human–computer interaction or as research tools to investigate human emotion perception. However, brain responses to avatar and human faces have scarcely been studied to date. As such, it remains unclear whether dynamic facial expressions of avatars evoke different brain responses than dynamic facial expressions of humans. In this study, we designed anthropomorphic avatars animated with motion tracking and tested whether the human brain processes fearful and neutral expressions in human and avatar faces differently. Our fMRI results showed that fearful human expressions evoked stronger responses than fearful avatar expressions in the ventral anterior and posterior cingulate gyrus, the anterior insula, the anterior and posterior superior temporal sulcus, and the inferior frontal gyrus. Fearful expressions in human and avatar faces evoked similar responses in the amygdala. We did not find different responses to neutral human and avatar expressions. Our results highlight differences, but also similarities in the processing of fearful human expressions and fearful avatar expressions even if they are designed to be highly anthropomorphic and animated with motion tracking. This has important consequences for research using dynamic avatars, especially when processes are investigated that involve cortical and subcortical regions.

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