Towards a cyberphysicalweb science: A social machines perspective on pokémon go!

David De Roure, James A. Hendler, Diccon James, Terhi Nurmikko-Fuller, Max Van Kleek, Pip Willcox

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    5 Citations (Scopus)

    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.

    Original languageEnglish
    Title of host publicationWebSci 2019 - Proceedings of the 11th ACM Conference on Web Science
    PublisherAssociation for Computing Machinery, Inc
    Pages65-69
    Number of pages5
    ISBN (Electronic)9781450362023
    DOIs
    Publication statusPublished - 26 Jun 2019
    Event11th ACM Conference on Web Science, WebSci 2019 - Boston, United States
    Duration: 30 Jun 20193 Jul 2019

    Publication series

    NameWebSci 2019 - Proceedings of the 11th ACM Conference on Web Science

    Conference

    Conference11th ACM Conference on Web Science, WebSci 2019
    Country/TerritoryUnited States
    CityBoston
    Period30/06/193/07/19

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