Imperatives for Virtual Humans
This work addresses the challenge of creating more intelligent and flexible virtual characters for applications in simulation and human-computer interaction, but it appears incremental as it builds on existing efforts in behavior authoring.
The paper tackles the problem of making virtual human behaviors more natural and human-like by introducing a framework that uses structured English input, inspired by natural language constructs, to author reasonable behaviors, focusing on elements like object types, properties, quantifiers, determiners, and spatial relations.
Seemingly since the inception of virtual humans, there has been an effort to make their behaviors more natural and human-like. In additions to improving movement's visual quality, there has been considerable research focused on creating more intelligent virtual characters. This paper presents a framework inspired by natural language constructs that aims to author more reasonable virtual human behaviors using structured English input. We focus mainly on object types and properties, quantifiers, determiners, and spatial relations. The framework provides a natural, flexible authoring system for simulating human behaviors.