Evaluating Singleplayer and Multiplayer in Human Computation Games
March 02, 2017 Β· Declared Dead Β· π International Conference on Foundations of Digital Games
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Authors
Kristin Siu, Matthew Guzdial, Mark O. Riedl
arXiv ID
1703.00818
Category
cs.HC: Human-Computer Interaction
Citations
27
Venue
International Conference on Foundations of Digital Games
Last Checked
4 months ago
Abstract
Human computation games (HCGs) can provide novel solutions to intractable computational problems, help enable scientific breakthroughs, and provide datasets for artificial intelligence. However, our knowledge about how to design and deploy HCGs that appeal to players and solve problems effectively is incomplete. We present an investigatory HCG based on Super Mario Bros. We used this game in a human subjects study to investigate how different social conditions---singleplayer and multiplayer---and scoring mechanics---collaborative and competitive---affect players' subjective experiences, accuracy at the task, and the completion rate. In doing so, we demonstrate a novel design approach for HCGs, and discuss the benefits and tradeoffs of these mechanics in HCG design.
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