Towards a Cyberphysical Web Science: A Social Machines Perspective on Pokémon GO!

Author
De Roure, David; Hendler, James A.; James, Diccon; Nurmikko-Fuller, Terhi; Van Kleek, Max; Wilcox, Pip
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2019-07
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Attribution-NonCommercial-NoDerivs 3.0 United States
Full Citation
David De Roure, James A. Hendler, Diccon James, Terhi Nurmikko-Fuller, Max Van Kleek, and Pip Willcox. 2019. Towards a Cyberphysical Web Science: A Social Machines Perspective on Pokémon GO! In Proceedings of the 10th ACM Conference on Web Science (WebSci '19). Association for Computing Machinery, New York, NY, USA, 65–69. https://doi.org/10.1145/3292522.3326043
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https://doi.org/10.1145/3292522.3326043; https://hdl.handle.net/20.500.13015/6401
Abstract
The concept of Social Machines has become an established lens to describe the sociotechnical systems of Web Science, and has been applied to some archetypical cyberphysical systems. In this paper we apply this lens to a larger system, the location based online augmented reality game Pokémon Go!. The contributions are an illustrative application of the descriptive Social Machines lens to a system of this scale and type, and the use of simulation as a method for an executable description, which includes use of an ontology to represent partially the universe of the game.;
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ACM
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Attribution-NonCommercial-NoDerivs 3.0 United States
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States