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pro vyhledávání: '"Kristensen, Jeppe Theiss"'
Difficulty is one of the key drivers of player engagement and it is often one of the aspects that designers tweak most to optimise the player experience; operationalising it is, therefore, a crucial task for game development studios. A common practic
Externí odkaz:
http://arxiv.org/abs/2401.17436
Publikováno v:
Proceedings of the 2020 IEEE Conference on Games (CoG)
In this work we investigate whether it is plausible to use the performance of a reinforcement learning (RL) agent to estimate the difficulty measured as the player completion rate of different levels in the mobile puzzle game Lily's Garden.For this p
Externí odkaz:
http://arxiv.org/abs/2306.14626
Publikováno v:
The 35th Annual ACM Symposium on User Interface Software and Technology (UIST '22), October 29-November 2, 2022, Bend, OR, USA. ACM, New York, NY, USA, 13 pages
The accurate and personalized estimation of task difficulty provides many opportunities for optimizing user experience. However, user diversity makes such difficulty estimation hard, in that empirical measurements from some user sample do not necessa
Externí odkaz:
http://arxiv.org/abs/2209.13495
Publikováno v:
2019 IEEE Conference on Games (CoG)
In freemium games, the revenue from a player comes from the in-app purchases made and the advertisement to which that player is exposed. The longer a player is playing the game, the higher will be the chances that he or she will generate a revenue wi
Externí odkaz:
http://arxiv.org/abs/2209.03184
Publikováno v:
Proceedings of the 2021 IEEE Conference on Games (CoG)
Successful and accurate modelling of level difficulty is a fundamental component of the operationalisation of player experience as difficulty is one of the most important and commonly used signals for content design and adaptation. In games that feat
Externí odkaz:
http://arxiv.org/abs/2107.03305
While traditionally a labour intensive task, the testing of game content is progressively becoming more automated. Among the many directions in which this automation is taking shape, automatic play-testing is one of the most promising thanks also to
Externí odkaz:
http://arxiv.org/abs/2007.01542