Computatrum Personae: Toward a Role-Based Taxonomy of (Computationally Assisted) Performance
Autor: | Samuel, B., Ryan, J., Summerville, A., Mateas, M., Noah Wardrip-Fruin |
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Rok vydání: | 2021 |
Zdroj: | Scopus-Elsevier |
ISSN: | 2334-0924 2326-909X |
DOI: | 10.1609/aiide.v12i2.12900 |
Popis: | Computationally assisted performance is a burgeoning area for AI applications, and an important stepping stone toward the dream of generative and personalized narrative experiences. As more pieces of computationally assisted performance are developed, it will become ever more important to develop a vocabulary with which to describe them. Inspired by previous work in creating taxonomies for other related domains, this paper outlines a taxonomy for performance-based experiences, drawn from digital games, traditional theatre, and the hybrid of the two. Having such a taxonomy not only creates a common language with which to discuss such experiences, but reveals unexplored design space in the field, and the particular applications of artificial intelligence necessary to realize them. |
Databáze: | OpenAIRE |
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