Toward Believable Acting for Autonomous Animated Characters

Cassidy Curtis,Sigurdur Orn Adalgeirsson, Horia Stefan Ciurdar, Peter F. McDermott,J. D. Velasquez,W. Bradley Knox, Alonso Martinez, Dei Gaztelumendi, Norberto Adrian Goussies, Tianyu Liu,Palash Nandy

15TH ACM SIGGRAPH CONFERENCE ON MOTION, INTERACTION AND GAMES, MIG 2022(2022)

Cited 1|Views9
No score
Abstract
This paper describes design principles and a system, based on reinforcement learning and procedural animation, to create an autonomous character capable of believable acting-exhibiting a responsive and expressive illusion of interactive life, grounded in its subjective experience of its world. The design principles incorporate knowledge from animation, human-computer interaction, and psychology, articulating guidelines that, when followed, support a viewer's suspension of disbelief. The system's reinforcement learning brain generates action, emotion, and attention signals based on motivational drives, and its procedural animation system translates those signals into expressive biophysical movement in real time. We demonstrate the system on a stylized quadruped character in a virtual habitat. In a user study, participants rated the character favorably on animacy and ability to experience emotions, which is consistent with finding the character believable.
More
Translated text
Key words
believability,acting,autonomous characters,synthetic characters,animation,reinforcement learning
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined