By the same authors

Intrinsic Elicitation: A Model and Design Approach for Games Collecting Human Subject Data

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Publication details

Title of host publicationProceedings of the 13th International Conference on the Foundations of Digital Games, FDG 2018
DateAccepted/In press - 8 May 2018
DatePublished (current) - 1 Aug 2018
PublisherACM
Place of PublicationNew York
EditorsSebastian Deterding, Mitu Khandaker, Sebastian Risi, Jose Font, Steve Dahlskog, Christoph Salge, Carl Magnus Olsson
Original languageEnglish
ISBN (Electronic)978-1-4503-6571-0

Abstract

Applied games are increasingly used to collect human subject data such as people’s performance or attitudes. Games a ord a motive for data provision that poses a validity threat at the same time: as players enjoy winning the game, they are motivated to provide dishonest data if this holds a strategic in-game advantage. Current work on data collection game design doesn’t address this issue. We therefore propose a theoretical model of why people provide certain data in games, the Rational Game User Model. We derive a design approach for human subject data collection games that we call Intrinsic Elicitation: data collection should be integrated into the game’s mechanics such that honest responding is the necessary, strategically optimal, and least e ortful way to pursue the game’s goal. We illustrate the value of our approach with a sample analysis of the data collection game Urbanology.

    Research areas

  • Applied games, Crowdsourcing games, Games with a purpose, Human computation games, Human subject data, Intrinsic integration, Validity

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