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

被引：0

作者：

Nunnari, Fabrizio ^{[1
]}

Heloir, Alexis ^{[2
]}

机构：

[1] DFKI MMCI, Saarbrucken, Germany

[2] DFKI MMCI LAMIH UMR CNRS 8201, Saarbrucken, Germany

来源：

INTELLIGENT VIRTUAL AGENTS, IVA 2014 | 2014年 / 8637卷

关键词：

Character generation; genetic algorithms; avatar; virtual character; personality traits; OCEAN model;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：316 / 319

页数：4