Using Virtual Humans to Understand Real Ones
Katie Hoemann, Behnaz Rezaei, Stacy C. Marsella, Sarah Ostadabbas

TL;DR
This study explores how virtual humans can be used to understand real human non-verbal communication by manipulating gaze, facial expression, and gestures, revealing complex interactions affecting perceived pleasure and dominance.
Contribution
It introduces a novel experimental setup using virtual agents to systematically manipulate non-verbal cues and study their effects on human affective responses.
Findings
Gaze, gesture, and facial expression interactively influence pleasure perception.
Gesture alone significantly affects perceived dominance.
Complex interactions between non-verbal cues highlight nuanced social signaling.
Abstract
Human interactions are characterized by explicit as well as implicit channels of communication. While the explicit channel transmits overt messages, the implicit ones transmit hidden messages about the communicator (e.g., his/her intentions and attitudes). There is a growing consensus that providing a computer with the ability to manipulate implicit affective cues should allow for a more meaningful and natural way of studying particular non-verbal signals of human-human communications by human-computer interactions. In this pilot study, we created a non-dynamic human-computer interaction while manipulating three specific non-verbal channels of communication: gaze pattern, facial expression, and gesture. Participants rated the virtual agent on affective dimensional scales (pleasure, arousal, and dominance) while their physiological signal (electrodermal activity, EDA) was captured during…
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Taxonomy
TopicsAction Observation and Synchronization · Face Recognition and Perception · Social Robot Interaction and HRI
