Abstract
While many forms of storytelling are well-suited to the domain of entertainment, interactive storytelling remains unique in its ability to also afford its audiences a sense of having influence over what will happen next. We propose that the key to encouraging such feelings of agency in interactive stories lies in managing the perceived relevance of the decisions that players make while they play. To this end, we present the design of a system which automatically estimates the relevance of in-game decisions for each particular player, based on a dynamically learned model of their preferences for story content. By actively choosing among several potential consequences of a given player decision, the proposed system highlights the relevance of each decision while accommodating for its players’ preferences over potential story content.
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Thue, D., Bulitko, V., Spetch, M., Romanuik, T. (2010). Player Agency and the Relevance of Decisions. In: Aylett, R., Lim, M.Y., Louchart, S., Petta, P., Riedl, M. (eds) Interactive Storytelling. ICIDS 2010. Lecture Notes in Computer Science, vol 6432. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16638-9_26
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DOI: https://doi.org/10.1007/978-3-642-16638-9_26
Publisher Name: Springer, Berlin, Heidelberg
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