Three RoboCup Simulation League Commentator Systems

AI Magazine

Three systems that generate real-time natural language commentary on the RoboCup simulation league are presented, and their similarities, differences, and directions for the future discussed. Although they emphasize different aspects of the commentary problem, all three systems take simulator data as input and generate appropriate, expressive, spoken commentary in real time. The automated generation of live reports on the basis of visual data constitutes a multistage transformation process. In the following subsections, we describe how the maintainable subtasks transform the input into the final output. All three commentary systems concentrate on the RoboCup simulator league, which involves software agents only (as opposed to the real robot leagues).


Three RoboCup Simulation League Commentator Systems

AI Magazine

Three systems that generate real-time natural language commentary on the RoboCup simulation league are presented, and their similarities, differences, and directions for the future discussed. Although they emphasize different aspects of the commentary problem, all three systems take simulator data as input and generate appropriate, expressive, spoken commentary in real time.



Modeling Emotional State and Personality for Conversational Agents

AAAI Conferences

The architecture uses models of emotions and personality encoded as Bayesian networks to 1) diagnose the emotions and personality of the user, and 2) generate appropriate behavior by an automated agent in response to the user's input.


Toward Virtual Humans

AAAI Conferences

This paper describes the virtual humans developed as part of the Mission Rehearsal Exercise project, a virtual reality based training system. This project is an ambitious exercise in integration, both in the sense of integrating technology with entertainment industry content, but also in that we have joined a number of component technologies that have not been integrated before. This integration has not only raised new research issues, but it has also suggested some new approaches to difficult problems. We describe the key capabilities of the virtual humans, including task representation and reasoning, natural language dialogue, and emotion reasoning, and show how these capabilities are integrated to provide more human-level intelligence than would otherwise be possible.