Gundry, David Edward and Deterding, Christoph Sebastian orcid.org/0000-0003-0033-2104 (2018) Intrinsic Elicitation:A Model and Design Approach for Games Collecting Human Subject Data. In: Deterding, Sebastian, Khandaker, Mitu, Risi, Sebastian, Font, Jose, Dahlskog, Steve, Salge, Christoph and Olsson, Carl Magnus, (eds.) Proceedings of the 13th International Conference on the Foundations of Digital Games, FDG 2018. ACM, New York.
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.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Keywords: | Applied games,Crowdsourcing games,Games with a purpose,Human computation games,Human subject data,Intrinsic integration,Validity |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Arts and Humanities (York) > Theatre, Film, TV and Interactive Media (York) The University of York > Faculty of Sciences (York) > Computer Science (York) |
Funding Information: | Funder Grant number EPSRC EP/M023265/1 EPSRC EP/L015846/1 |
Depositing User: | Pure (York) |
Date Deposited: | 10 Jul 2018 11:30 |
Last Modified: | 17 Sep 2025 04:36 |
Published Version: | https://doi.org/10.1145/3235765.3235803 |
Status: | Published |
Publisher: | ACM |
Identification Number: | 10.1145/3235765.3235803 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:133118 |
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