Visual information seeking: tight coupling of dynamic query filters with starfield displays
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Data mining solutions: methods and tools for solving real-world problems
Data mining solutions: methods and tools for solving real-world problems
Principles of data mining
March Madness and the Office Pool
Management Science
Spatial Presence and Emotions during Video Game Playing: Does It Matter with Whom You Play?
Presence: Teleoperators and Virtual Environments
AdaptiviTree: Adaptive Tree Visualization for Tournament-Style Brackets
IEEE Transactions on Visualization and Computer Graphics
The importance of a match in a tournament
Computers and Operations Research
Pricing combinatorial markets for tournaments
STOC '08 Proceedings of the fortieth annual ACM symposium on Theory of computing
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Fantasy games, in which players compete to correctly predict real-world outcomes in sports, entertainment, and politics, have grown in popularity and now represent a significant portion of online gaming. Pick'em pools, also known as office pools, are a fantasy game specifically focused on tournament-style competitions such as the "March Madness" NCAA basketball championship. Pick'em pool players often spend significant time trying to understand the current state of competition and to anticipate future events that may significantly affect their performance within the pool. Unfortunately, the combinatorial nature of the outcome space makes these tasks extremely challenging, and intuition is often a highly inaccurate guide. In this paper we present iSee, a system that allows players to make these complex calculations and inferences. We describe a variety of interface options for the interactive presentation of tournament outcome visualizations. We also describe in detail the implementation of a set of algorithms for reliably projecting player performance and distilling the complex outcome space to a number of key scenarios. Finally, we report on a pilot study soliciting user feedback on the system.