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: | 21 Jan 2025 18:24 |
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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