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.
CITATION STYLE
Zhu, J., Moshell, J. M., Ontañón, S., Erbiceanu, E., & Hughes, C. E. (2011). Why can’t a virtual character be more like a human: A mixed-initiative approach to believable agents. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6774 LNCS, pp. 289–296). https://doi.org/10.1007/978-3-642-22024-1_32
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