I am a Research Scientist at Disney Research, where I lead the Narrative Intelligence Group.

Computational Narrative Intelligence (CNI) aims to create intelligent machines that can understand and create stories, manage interactive narratives, and respond appropriately to stories told to them. I have made contributions to all major areas of CNI, ranging from story generation and interactive narratives to human cognition, from learning story knowledge to story understanding. [My Google Scholar Page]

My current research interests include:

  1. Story understanding, ranging from the micro-analysis of events and characters to the macro-analysis of story structure and quality.
  2. Story-powered interaction. Conversational characters with story backgrounds and exhibiting personality via story-driven behaviors.
  3. Story knowledge extraction. Extracting knowledge about events and literary characters from story text.
  4. Story assistance. Intelligent tools that assist human story writers and experience designers.

Previously, I worked as a postdoc with Leon Sigal and Jill Lehman. In 2014, I obtained my Ph.D. degree from Georgia Institute of Technology, working with Mark Riedl.

[What's New]
Nov 2017: Submitted two papers to CVPR 2018.
Sep 2017: Released a preprint report on annotating high-level story structures in a project codenamed Spherical Shakespeare.

moc.hcraeseryensid@il.trebla :liamE

Research Areas

Story Understanding

Acquiring Story Knowledge

Story Generation

Narrative and Cognition