The face value of feedback: Facial behavior is shaped by goals and punishments during interaction with dynamic faces

2020 ◽  
Author(s):  
Jonathan Yi ◽  
Philip Pärnamets ◽  
Andreas Olsson
Keyword(s):  
Decision Making ◽  
Facial Expression ◽  
Facial Expressions ◽  
Large Body ◽  
Mechanistic Explanation ◽  
Experimental Manipulation ◽  
Corrugator Supercilii ◽  
Dynamic Faces ◽  
Facial Behavior ◽  
Reinforcement Learning Models

Responding appropriately to others’ facial expressions is key to successful social functioning. Despite the large body of work on face perception and spontaneous responses to static faces, little is known about responses to faces in dynamic, naturalistic situations, and no study has investigated how goal directed responses to faces are influenced by learning during dyadic interactions. To experimentally model such situations, we developed a novel method based on online integration of electromyography (EMG) signals from the participants’ face (corrugator supercilii and zygomaticus major) during facial expression exchange with dynamic faces displaying happy and angry facial expressions. Fifty-eight participants learned by trial-and-error to avoid receiving aversive stimulation by either reciprocate (congruently) or respond opposite (incongruently) to the expression of the target face. Our results validated our method, showing that participants learned to optimize their facial behavior, and replicated earlier findings of faster and more accurate responses in congruent vs. incongruent conditions. Moreover, participants performed better on trials when confronted with smiling, as compared to frowning, faces, suggesting it might be easier to adapt facial responses to positively associated expressions. Finally, we applied drift diffusion and reinforcement learning models to provide a mechanistic explanation for our findings which helped clarifying the underlying decision-making processes of our experimental manipulation. Our results introduce a new method to study learning and decision-making in facial expression exchange, in which there is a need to gradually adapt facial expression selection to both social and non-social reinforcements.

scholarly journals CAT-CAD: A Computer-Aided Diagnosis Tool for Cataplexy

Computers ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 51
Author(s):  
Ilaria Bartolini ◽  
Andrea Di Luzio
Keyword(s):  
Muscle Tone ◽  
Disease Symptoms ◽  
Video Recordings ◽  
Learning Techniques ◽  
Recent Approach ◽  
Recording Analysis ◽  
Facial Behavior ◽  
The One ◽  
Aided Diagnosis ◽  
Real Patients

Narcolepsy with cataplexy is a severe lifelong disorder characterized, among others, by sudden loss of bilateral face muscle tone triggered by emotions (cataplexy). A recent approach for the diagnosis of the disease is based on a completely manual analysis of video recordings of patients undergoing emotional stimulation made on-site by medical specialists, looking for specific facial behavior motor phenomena. We present here the CAT-CAD tool for automatic detection of cataplexy symptoms, with the double aim of (1) supporting neurologists in the diagnosis/monitoring of the disease and (2) facilitating the experience of patients, allowing them to conduct video recordings at home. CAT-CAD includes a front-end medical interface (for the playback/inspection of patient recordings and the retrieval of videos relevant to the one currently played) and a back-end AI-based video analyzer (able to automatically detect the presence of disease symptoms in the patient recording). Analysis of patients’ videos for discovering disease symptoms is based on the detection of facial landmarks, and an alternative implementation of the video analyzer, exploiting deep-learning techniques, is introduced. Performance of both approaches is experimentally evaluated using a benchmark of real patients’ recordings, demonstrating the effectiveness of the proposed solutions.

scholarly journals Walk Ratio: Perception of an Invariant Parameter of Human Walk on Virtual Characters

2020 ◽  
Author(s):  
Benjamin Niay ◽  
Anne-Hélène Olivier ◽  
Katja Zibrek ◽  
Julien Pettré ◽  
Ludovic Hoyet
Keyword(s):  
Virtual Characters ◽  
Walk Ratio ◽  
Invariant Parameter

The Design of a Visual Tool for the Quick Customization of Virtual Characters in OSSL

2015 ◽  
Author(s):  
Yungang Wei ◽  
Xiaoran Qin ◽  
Xiaoye Tan ◽  
Xiaohang Yu ◽  
Bo Sun ◽  
...  
Keyword(s):  
Virtual Characters ◽  
Visual Tool

scholarly journals Animation planning for virtual characters cooperation

2006 ◽  
Vol 25 (2) ◽  
pp. 319-339 ◽  
Author(s):  
Claudia Esteves ◽  
Gustavo Arechavaleta ◽  
Julien Pettré ◽  
Jean-Paul Laumond
Keyword(s):  
Virtual Characters

scholarly journals The Use of Virtual Characters to Assess and Train Non-Verbal Communication in High-Functioning Autism

2014 ◽  
Vol 8 ◽  
Author(s):  
Alexandra Livia Georgescu ◽  
Bojana Kuzmanovic ◽  
Daniel Roth ◽  
Gary Bente ◽  
Kai Vogeley
Keyword(s):  
High Functioning Autism ◽  
Verbal Communication ◽  
Virtual Characters ◽  
High Functioning

Maternal facial behavior and the recognition and production of emotional expression by maltreated and nonmaltreated children.

1990 ◽  
Vol 26 (2) ◽  
pp. 304-312 ◽  
Author(s):  
Linda A. Camras ◽  
Sheila Ribordy ◽  
Jean Hill ◽  
Steve Martino ◽  
et al
Keyword(s):  
Emotional Expression ◽  
Facial Behavior

scholarly journals Dynamic Cascades with Bidirectional Bootstrapping for Action Unit Detection in Spontaneous Facial Behavior

2011 ◽  
Vol 2 (2) ◽  
pp. 79-91 ◽  
Author(s):  
Yunfeng Zhu ◽  
F. De la Torre ◽  
J. F. Cohn ◽  
Yu-Jin Zhang
Keyword(s):  
Action Unit ◽  
Facial Behavior ◽  
Action Unit Detection
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