skip to main content
10.1145/3292522.3326043acmconferencesArticle/Chapter ViewAbstractPublication PageswebsciConference Proceedingsconference-collections
short-paper

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

Published:26 June 2019Publication History

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.

References

  1. Tim Berners-Lee. 1999. Weaving the Web: The Original Design and Ultimate Destiny of the World Wide Web by Its Inventor .Harper San Francisco. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. David De Roure, Clare Hooper, Megan Meredith-Lobay, Kevin Page, Ségolène Tarte, Don Cruickshank, and Catherine De Roure. 2013. Observing Social Machines Part 1: What to Observe?. In Proceedings of the 22Nd International Conference on World Wide Web (WWW '13 Companion). ACM, New York, NY, USA, 901--904. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. David De Roure, Clare Hooper, Kevin Page, Ségolène Tarte, and Pip Willcox. 2015. Observing Social Machines Part 2: How to Observe?. In Proceedings of the ACM Web Science Conference (WebSci '15). ACM, New York, NY, USA, Article 13, bibinfonumpages5 pages. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Pavan Ravikanth Kondamudi, Bradley Protano, and Hamed Alhoori. 2017. PokéMon Go: Impact on Yelp Restaurant Reviews. In Proceedings of the 2017 ACM on Web Science Conference (WebSci '17). ACM, New York, NY, USA, 393--394. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Aastha Madaan, Jason R. C. Nurse, David De Roure, Kieron O'Hara, Wendy Hall, and Sadie Creese. 2018. A Storm in an IoT Cup: The Emergence of Cyber-Physical Social Machines. CoRR, Vol. abs/1809.05904 (2018). arxiv: 1809.05904 http://arxiv.org/abs/1809.05904Google ScholarGoogle Scholar
  6. Kieron O'Hara, Noshir S Contractor, Wendy Hall, James A Hendler, Nigel Shadbolt, et almbox. 2013. Web Science: Understanding the emergence of macro-level features on the world wide web. Foundations and Trends® in Web Science, Vol. 4, 2--3 (2013), 103--267. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. P. Papapanagiotou, D. Murray-Rust, M. Van Kleek, A. Davoust, A. Manataki, and D. Robertson. 2017. Rapid Assembly of Social Machines with the Lightweight Social Calculus. In 2017 Workshop on Hybrid Human-Machine Computing (HHMC 2017).Google ScholarGoogle Scholar
  8. Nigel Shadbolt, Kieron O'Hara, David De Roure, and Wendy Hall. 2019. The Theory and Practice of Social Machines .Springer, Springer Nature Switzerland AG 2019. Google ScholarGoogle Scholar
  9. Miguel Sicart. 2009. The Ethics of Computer Games .MIT Press. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

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

          Recommendations

          Comments

          Login options

          Check if you have access through your login credentials or your institution to get full access on this article.

          Sign in
          • Published in

            cover image ACM Conferences
            WebSci '19: Proceedings of the 10th ACM Conference on Web Science
            June 2019
            395 pages
            ISBN:9781450362023
            DOI:10.1145/3292522

            Copyright © 2019 ACM

            Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

            Publisher

            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 26 June 2019

            Permissions

            Request permissions about this article.

            Request Permissions

            Check for updates

            Qualifiers

            • short-paper

            Acceptance Rates

            WebSci '19 Paper Acceptance Rate41of130submissions,32%Overall Acceptance Rate218of875submissions,25%

          PDF Format

          View or Download as a PDF file.

          PDF

          eReader

          View online with eReader.

          eReader