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.
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Nunnari, F., Heloir, A. (2014). Mapping Personality to the Appearance of Virtual Characters Using Interactive Genetic Algorithms. In: Bickmore, T., Marsella, S., Sidner, C. (eds) Intelligent Virtual Agents. IVA 2014. Lecture Notes in Computer Science(), vol 8637. Springer, Cham. https://doi.org/10.1007/978-3-319-09767-1_40
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DOI: https://doi.org/10.1007/978-3-319-09767-1_40
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-09766-4
Online ISBN: 978-3-319-09767-1
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