Virtual reality, art, and entertainment
Presence: Teleoperators and Virtual Environments - Premier issue
Guiding interactive drama
From Linear Story Generation to Branching Story Graphs
IEEE Computer Graphics and Applications
Andrew Rollings and Ernest Adams on Game Design
Andrew Rollings and Ernest Adams on Game Design
A globally optimal algorithm for TTD-MDPs
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Targeting specific distributions of trajectories in MDPs
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Controlling Narrative Generation with Planning Trajectories: The Role of Constraints
ICIDS '09 Proceedings of the 2nd Joint International Conference on Interactive Digital Storytelling: Interactive Storytelling
A survey of collaborative filtering techniques
Advances in Artificial Intelligence
NetworkING: using character relationships for interactive narrative generation
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
You are what you consume: a bayesian method for personalized recommendations
Proceedings of the 7th ACM conference on Recommender systems
Skill-based Mission Generation: A Data-driven Temporal Player Modeling Approach
Proceedings of the The third workshop on Procedural Content Generation in Games
| Hi-index | 0.00 |
In story-based games or other interactive story systems, a Drama Manager is an omniscient agent that acts to bring about a particular sequence of plot points for the user to experience. We present a Drama Manager that uses player modeling to personalize the user's story according to his or her storytelling preferences. In order to deliver personalized stories, a Drama Manager must make decisions on not only which plot points to be included into the unfolding story but also the optimal sequence of the events the user should experience. A prefix based collaborative filtering algorithm based on users' structural feedback is proposed to address the sequential selection problem. We demonstrate our system on a simple interactive story generation system based on choose-your-own-adventure stories to evaluate our algorithms. Results on human users and simulated users show that our Drama Manager is capable of capturing users' preference and generating personalized stories with high accuracy.