Applications of Artificial Intelligence in Live Action Role-Playing Games (LARP)
Autor: | Mike Preuss, Emily Short, Christoph Salge, Spyridon Samothrakis, Pieter Spronck |
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Přispěvatelé: | Cognitive Science & AI |
Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
FOS: Computer and information sciences
Game genre Computer Science - Artificial Intelligence Computer science Field (Bourdieu) ComputingMilieux_PERSONALCOMPUTING Live action Player experience Computer Science - Computers and Society Artificial Intelligence (cs.AI) Game design Human–computer interaction Computers and Society (cs.CY) Applications of artificial intelligence Role playing |
Zdroj: | ISSUE=2;TITLE=IEEE Conference on Games 2020 Artificial and Computational Intelligence in Games: Revolutions in Computational Game AI: Report from Dagstuhl Seminar 19511 Artificial and Computational Intelligence in Games: Revolutions in Computational Game AI CoG |
Popis: | Live Action Role-Playing (LARP) games and similar experiences are becoming a popular game genre. Here, we discuss how artificial intelligence techniques, particularly those commonly used in AI for Games, could be applied to LARP. We discuss the specific properties of LARP that make it a surprisingly suitable application field, and provide a brief overview of some existing approaches. We then outline several directions where utilizing AI seems beneficial, by both making LARPs easier to organize, and by enhancing the player experience with elements not possible without AI. 8 pages, 2 figures. Published at IEEE Conference on Games, 2020 |
Databáze: | OpenAIRE |
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