Skip to Main content Skip to Navigation
Conference papers

Mapping Personality to the Appearance of Virtual Characters Using Interactive Genetic Algorithms.

Abstract : We present an architecture for the generation of believable virtual characters from their personality traits. Using a crowd-based approach, we infer how people’s beliefs relate personality profile to physical appearance. The method we propose uses interactive genetic algorithms. Combined with natural language processing and sentiment analysis, it has the potential to drive the generation of new virtual characters from written description. In video games and online virtual worlds, it might replace traditional slider-based character personalization approaches by more creative, story-driven ones.
Document type :
Conference papers
Complete list of metadata

https://hal-uphf.archives-ouvertes.fr/hal-03387851
Contributor : Mylène Delrue Connect in order to contact the contributor
Submitted on : Wednesday, October 20, 2021 - 9:07:12 AM
Last modification on : Thursday, October 21, 2021 - 5:02:21 AM

Identifiers

Collections

Citation

Fabrizio Nunnari, Alexis Heloir. Mapping Personality to the Appearance of Virtual Characters Using Interactive Genetic Algorithms.. Intelligent Virtual Agents - 14th International Conference, IVA 2014, Aug 2014, Boston, United States. pp.316-319, ⟨10.1007/978-3-319-09767-1_40⟩. ⟨hal-03387851⟩

Share

Metrics

Record views

15