Gestures that accompany speech are an essential part of natural and efficient embodied
human communication. The automatic generation of such co‐speech gestures is a long …

Diffusion models have experienced a surge of interest as highly expressive yet efficiently
trainable probabilistic models. We show that these models are an excellent fit for …

Automatic emotion recognition from the analysis of body movement has tremendous
potential to revolutionize virtual reality, robotics, behavior modeling, and biometric identity …

The analysis of the ubiquitous human-human interactions is pivotal for understanding
humans as social beings. Existing human-human interaction datasets typically suffer from …

Consistently exhibited personalities are crucial elements of realistic, engaging, and behavior-
rich conversational virtual agents. Both nonverbal and verbal cues help convey these …

The portrayed personality of virtual characters and agents is understood to influence how we
perceive and engage with digital applications. Understanding how the features of speech …

Crowd path planning aims to find the optimal path between the source and destination for
multiple agents in crowd scenes. The advent of parallel theory and digital twin technologies …

This work investigates how personality expression and embodiment affect personality
perception and learning in educational conversational agents. We extend an existing …

In computer animation, the creation of believable and engaging virtual characters has been
a long-lasting endeavour. While researchers investigated several aspects of character …

We present a novel, real-time algorithm, EVA, for generating virtual agents with various
perceived emotions. Our approach is based on using Expressive Features of gaze and gait …