Title
Why Can'T A Virtual Character Be More Like A Human: A Mixed-Initiative Approach To Believable Agents
Keywords
artificial intelligence; character believability; interactive storytelling; interactive virtual environment; Mixed-initiative system
Abstract
Believable agents have applications in a wide range of human computer interaction-related domains, such as education, training, arts and entertainment. Autonomous characters that behave in a believable manner have the potential to maintain human users' suspense of disbelief and fully engage them in the experience. However, how to construct believable agents, especially in a generalizable and cost effective way, is still an open problem. This paper compares the two common approaches for constructing believable agents - human-driven and artificial intelligence-driven interactive characters - and proposes a mixed-initiative approach in the domain of interactive training systems. Our goal is to provide the user with engaging and effective educational experiences through their interaction with our system. © 2011 Springer-Verlag.
Publication Date
7-21-2011
Publication Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume
6774 LNCS
Issue
PART 2
Number of Pages
289-296
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1007/978-3-642-22024-1_32
Copyright Status
Unknown
Socpus ID
79960403986 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/79960403986
STARS Citation
Zhu, Jichen; Moshell, J. Michael; Ontañón, Santiago; Erbiceanu, Elena; and Hughes, Charles E., "Why Can'T A Virtual Character Be More Like A Human: A Mixed-Initiative Approach To Believable Agents" (2011). Scopus Export 2010-2014. 2612.
https://stars.library.ucf.edu/scopus2010/2612