Player interaction with procedurally generated game play from crowd-sourced data

Sylvester Arnab, Mark Lewis, Alessandro Bogliolo, Lorenz Cuno Klopfenstein, Saverio Delpriori, Samantha Clarke

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

Abstract

This paper discusses the potential for player-data interaction enabled through the medium of gameplay that is procedurally generated using crowd-sourced data. A mobile game, which is called ‘Balance Trucks’ procedurally generates levels containing terrains derived from data collected through the SmartRoadSense (SRS) application. SRS allows data on the quality of roads to be collected via a user’s mobile device whilst driving along various routes, providing open data towards boosting traffic conditions in Europe. Data collected can then be used to unlock game levels and the subsequent terrains. The paper describes the development considerations and process, providing insights on the technical infrastructure that could be adopted and adapted for different types of data. The player-data interaction demonstrated by this game provides a new form of human-computer interaction from the perspective of games and crowd-sourced data that can inform future data-driven games and also the engagement strategy for other crowd-sourcing and sensing initiatives.

Original languageEnglish
Title of host publicationCHI PLAY 2019 - Extended Abstracts of the Annual Symposium on Computer-Human Interaction in Play
PublisherAssociation for Computing Machinery, Inc
Pages333-339
Number of pages7
ISBN (Electronic)9781450368711
DOIs
Publication statusPublished - 17 Oct 2019
Event6th ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play - Barcelona, Spain
Duration: 22 Oct 201925 Oct 2019
https://chiplay.acm.org/2019/

Conference

Conference6th ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play
Abbreviated titleCHI PLAY 2019
CountrySpain
CityBarcelona
Period22/10/1925/10/19
Internet address

Keywords

  • Crowd-sourcing
  • Gamification
  • Mobile games
  • Procedural content generation
  • Smart sensing

ASJC Scopus subject areas

  • Human-Computer Interaction

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  • Cite this

    Arnab, S., Lewis, M., Bogliolo, A., Klopfenstein, L. C., Delpriori, S., & Clarke, S. (2019). Player interaction with procedurally generated game play from crowd-sourced data. In CHI PLAY 2019 - Extended Abstracts of the Annual Symposium on Computer-Human Interaction in Play (pp. 333-339). Association for Computing Machinery, Inc. https://doi.org/10.1145/3341215.3356257