Crowd-Pleaser
Author:
Affiliation:
1. Queensland University of Technology (QUT), Brisbane, QLD, Australia
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2967934.2968100
Reference24 articles.
1. Challenge-Sensitive Action Selection: an Application to Game Balancing
2. Alexander Baldwin Daniel Johnson Peta Wyeth and Penny Sweetser. 2013. A framework of dynamic difficulty adjustment in competitive multiplayer video games. IEEE Consumer Electronics Society's International Games Innovations Conference IGIC: 16--19. http://doi.org/10.1109/IGIC.2013.6659150 Alexander Baldwin Daniel Johnson Peta Wyeth and Penny Sweetser. 2013. A framework of dynamic difficulty adjustment in competitive multiplayer video games. IEEE Consumer Electronics Society's International Games Innovations Conference IGIC: 16--19. http://doi.org/10.1109/IGIC.2013.6659150
3. Target assistance for subtly balancing competitive play
4. Improving player balancing in racing games
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1. Self-Determination Theory and HCI Games Research: Unfulfilled Promises and Unquestioned Paradigms;ACM Transactions on Computer-Human Interaction;2024-06-30
2. The Trick is to Stay Behind?: Defining and Exploring the Design Space of Player Balancing Mechanics;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11
3. Rethinking dynamic difficulty adjustment for video game design;Entertainment Computing;2024-05
4. Supporting Aim Assistance Algorithms through a Rapidly Trainable, Personalized Model of Players’ Spatial and Temporal Aiming Ability;Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems;2023-04-19
5. Assessing the Effects of Open Models of Learning and Enjoyment in a Digital Learning Game;International Journal of Artificial Intelligence in Education;2021-04-13
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