Procedural Content Generation

Ph.D. Proposal - The Little Computer People Taxonomy and Social Physics Engine

This proposal describes our efforts to evaluate and operationalize a taxonomy and an accompanying framework or ``social physics engine''. Our taxonomy and accompanying framework would allow scientists to reproduce and evaluate existing models, collaborate on standards, share advances with other researchers and practitioners, allow for better communication and methodologies developed for new techniques, and allow for a more rigorous model-to-model analysis.

Ph.D. Quals - Lyra: Simulating Believable Opinionated NPCs (Extended)

This work expands on and extends work previously pubished for the Lyra System towards the Ph.D. Computer Science qualifier requirement at NC State University. We conducted a human-subjects study of Lyra to evaluate the generated conversations and …

Lyra: Simulating Believable Opinionated Virtual Characters

Lyra is a simulation of a opinionated population of virtual characters with inherent biases that can believably debate politically-charged topics. We conducted a human-subjects study to evaluate these generated conversations and affinity groups for their believability and to inform future iterations of the simulation. We believe successful simulation of opinion change in social dynamics provides a foundation for computational recognition, prediction, and interfacing with humans.

Mixed Reality Meets Procedural Content Generation in Video Games

The use of artificial intelligence and procedural content generation algorithms in mixed reality games is an unexplored space. We posit that these algorithms can enhance the gameplay experience in mixed reality games. We present two prototype games …

Procedural Level Generation for Augmented Reality Games

Mixed reality games are those in which virtual graphical assets are overlaid on the physical world. We explore the use of procedural content generation to enhance the gameplay experience in a prototype mixed reality game. Procedural content …

AI and Procedural Content Generation for Mixed Reality

Join the GGDA and Microsoft at Georgia Tech for an overview of the Hololens, its capabilities and the opportunities it brings you. Microsoft MVP James Ashley joins us to discuss opportunities for Hololens development in gaming, retail and industry as well as to demonstrate the spatial mapping plugins for Unity.

Artificial Intelligence for Mixed Reality Entertainment

The use of artificial intelligence and procedural content generation algorithms in mixed reality experiences is an unexplored space. We posit that these algorithms can enhance the gameplay experience in mixed reality games.