A method for transferring probabilistic user models between environments

David L. Roberts, Fred Roberts

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Chief among the inputs to decision making algorithms in narrative or game environments is a model of player or opponent decision making. A challenge that will always face designers is to specify that model ahead of time, when actual data from the environment is likely not to be available. Absent corpora of data, designers must intuit these models as best they can, incorporating domain or expert knowledge when available. To make this process more precise, we derive a theoretically grounded technique to transfer an observed user model from one domain to another. We answer the question: "How can a model obtained from observations of one environment inform a model for another environment?" We verify the accuracy of our techniques using data from previous user studies.

Original languageEnglish (US)
Title of host publicationInteractive Storytelling - 4th International Conference on Interactive Digital Storytelling, ICIDS 2011, Proceedings
Pages43-54
Number of pages12
DOIs
StatePublished - 2011
Event4th International Conference on Interactive Digital Storytelling, ICIDS 2011 - Vancouver, BC, Canada
Duration: Nov 28 2011Dec 1 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7069 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th International Conference on Interactive Digital Storytelling, ICIDS 2011
Country/TerritoryCanada
CityVancouver, BC
Period11/28/1112/1/11

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint

Dive into the research topics of 'A method for transferring probabilistic user models between environments'. Together they form a unique fingerprint.

Cite this