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Social interactions in game jams: a jammer recommender tool

Published: 26 August 2019 Publication History

Abstract

In game jams, the jammer constellations and teams are essential elements for successful and engaging game jams and game jam outcomes. In this paper, we discuss and analyze group forming behavior in jam environments but also look at jammers who want to prefer to jam by themselves. In jam environments, especially the group forming task at the beginning of every game jam is essential for the success of the event and the outcomes. However, it is also one of the most challenging tasks. For this paper, we analyzed the data of the Global Game Jams between 2015-2018 with a focus on the formed groups as well as the linked Github profiles. Based on first results, we build an early prototype for recommending groups for the Global Game Jam automatically.

References

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Micah Hrehovcsik, Harald Warmelink, and Marilla Valente. 2016. The Game Jam as a Format for Formal Applied Game Design and Development Education. In Games and Learning Alliance. Springer, 257--267.
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FDG '19: Proceedings of the 14th International Conference on the Foundations of Digital Games
August 2019
822 pages
ISBN:9781450372176
DOI:10.1145/3337722
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].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 August 2019

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Author Tags

  1. game development
  2. game jam
  3. github
  4. social network analysis

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FDG '19

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FDG '19 Paper Acceptance Rate 46 of 124 submissions, 37%;
Overall Acceptance Rate 152 of 415 submissions, 37%

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