Automated Generation of Plausible Agent Object Interactions
John T. Balint and Jan M. Allbeck
Proceedings of Intelligent Virtual Agents 2015, Springer, page 295-309.
Abstract
To interact in a virtual environment, an agent must be aware of its
available actions and the objects that can participate in these
actions.Work such as Kallmann's SmartObjects allows for this information
to be encoded by a simulation author, but these encodings tend to be
constrained to individual graphical models. Furthermore, there may not be
agreement on the proper operational information between simulation
authors. To create consistent object operational information, we have
devised a method that uses natural language lexical databases to parse
and assemble this information. The method uses a two step process: 1. The
names of motion clips are disambiguated using their name and a list of
keywords; 2. Objects are connected to the actions by resolving the
operational elements of a given verb. This method is tested on several
common, publicly available action sets and the accuracy and coverage of
our method are measured.
Paper (pdf)