Pilot case study in games as polling systems, generating knowledge about fake news

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

1 Scopus citations

Abstract

This research reports on heuristics in the design and implementation of games as polling systems. Adapting previous research in human computation games, this paper examines the opportunity to collect player opinion through game mechanics. The goal is to make more engaging experiences and exploit poll-taker as player instinct response. This case study describes the design, development and data collected through three playable polls focused on news sources and media literacy. This is a pilot analysis, outlining the propensities and limitations of using games as polling systems and reporting on the findings from a limited release involving 287 play sessions.

Original languageEnglish (US)
Title of host publicationCHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450368193
DOIs
StatePublished - Apr 25 2020
Event2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020 - Honolulu, United States
Duration: Apr 25 2020Apr 30 2020

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020
Country/TerritoryUnited States
CityHonolulu
Period4/25/204/30/20

Keywords

  • Computer games
  • Engagement design
  • Human computation games
  • Playable polls

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Software

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