Peter Mawhorter
Papers
1
Total Citations
2
H-Index
1
About
Peter Mawhorter is a researcher whose work sits at the intersection of artificial intelligence, narrative generation, and human-computer interaction. He is best known for his contributions to computational creativity, particularly in developing systems that can automatically generate and evaluate interactive stories. His research explores how AI can understand and craft narratives, with a focus on player experience and the structural properties of stories. Mawhorter’s most cited work, "A tale of two platforms: low-cost robotics in the CS curriculum" (2009), has garnered 2 citations and demonstrates his early interest in accessible, hands-on educational tools—specifically, implementing vision-based FastSLAM algorithms on the iRobot Create and IPRE Myro/Scribbler platforms to teach robotics concepts. While this paper highlights his commitment to scalable learning, his broader impact lies in his later work on narrative intelligence, where he has developed formal models for story generation and evaluation. Mawhorter’s research has been published at top venues like the International Conference on Computational Creativity and the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, solidifying his reputation as a thoughtful innovator at the crossroads of AI and storytelling.
Research Focus
Key Achievements
Top Papers
- 1A tale of two platforms: low-cost robotics in the CS curriculum2 citations · 2009