Wyszukiwarka
Abstrakt
With 27 million people playing League of Legends every day, e-sports became more and more important part of our everyday life. Rise of its popularity builds a demand for better understanding e-sports mechanics on a deeper level. In the article, we test a hypothesis that it is possible to predict an outcome of Multiplayer Online Battle Arena game based on topological clues only (such as area of polygon where vertices are players positions, and their dispersion). With accuracy, precision, and recall around 80%, we show that it is possible to construct a model which will be both: generic for MOBA games genre, and based on simple assumptions, which are hard to be perceived by the naked eye. Results can be used for better understanding how MOBA games works, as well as for developing more player-friendly games in terms of difficulty, and time one needs to learn how to play.
Cytuj jako
Pełna treść
pełna treść publikacji nie jest dostępna w portalu
Słowa kluczowe
Informacje szczegółowe
- Kategoria:
- Aktywność konferencyjna
- Typ:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Tytuł wydania:
- Proceedings of the IADIS International Conference Interfaces and Human Computer Interaction strony 116 - 122
- Język:
- angielski
- Rok wydania:
- 2015
- Opis bibliograficzny:
- Deja D., Myślak M.: TOPOLOGICAL CLUES FOR PREDICTING OUTCOMES OF MULTIPLAYER ONLINE BATTLE ARENA GAMES// Proceedings of the IADIS International Conference Interfaces and Human Computer Interaction/ ed. Katherine Blashki and Yingcai Xiao : Piet Kommers, Pedro Isaías and Heredina Fernandez Betancort, 2015, s.116-122
- Weryfikacja:
- Politechnika Gdańska
wyświetlono 83 razy
Publikacje, które mogą cię zainteresować
Asking Data in a Controlled Way with Ask Data Anything NQL
- A. Seganti,
- P. Kapłański,
- J. Campo
- + 3 autorów
Big Data Analytics for ICT Monitoring and Development
- C. Ritu,
- K. Harleen,
- E. Lechman
- + 1 autorów