dc.contributor.author | Salge, Christoph | |
dc.contributor.author | Short, Emily | |
dc.contributor.author | Preuss, Mike | |
dc.contributor.author | Samothrakis, Spyridon | |
dc.contributor.author | Spronck, Pieter | |
dc.date.accessioned | 2023-11-10T14:15:02Z | |
dc.date.available | 2023-11-10T14:15:02Z | |
dc.date.issued | 2020-08-27 | |
dc.identifier.citation | Salge , C , Short , E , Preuss , M , Samothrakis , S & Spronck , P 2020 , Applications of Artificial Intelligence in Live Action Role-Playing Games (LARP) . in IEEE Conference on Games 2020 . Osaka, Japan , IEEE Conference on Games 2020 , Osaka , Japan , 24/08/20 . < https://ieee-cog.org/2020/program > | |
dc.identifier.citation | conference | |
dc.identifier.uri | http://hdl.handle.net/2299/27122 | |
dc.description.abstract | 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. | en |
dc.format.extent | 8 | |
dc.format.extent | 156009 | |
dc.language.iso | eng | |
dc.relation.ispartof | IEEE Conference on Games 2020 | |
dc.title | Applications of Artificial Intelligence in Live Action Role-Playing Games (LARP) | en |
dc.contributor.institution | Centre for Future Societies Research | |
dc.contributor.institution | Department of Computer Science | |
dc.contributor.institution | School of Physics, Engineering & Computer Science | |
dc.contributor.institution | Adaptive Systems | |
dc.contributor.institution | Centre for Computer Science and Informatics Research | |
dc.date.embargoedUntil | 2020-08-27 | |
dc.identifier.url | https://ieee-cog.org/2020/program | |
rioxxterms.type | Other | |
herts.preservation.rarelyaccessed | true | |