Gundry, David ORCID: https://orcid.org/0000-0003-1903-7666 and Deterding, Sebastian (2018) Intrinsic elicitation: A model and design approach for games collecting human subject data. In: Dahlskog, Steve, Deterding, Sebastian, Font, Jose, Khandaker, Mitu, Olsson, Carl Magnus, Risi, Sebastian and Salge, Christoph, (eds.) Proceedings of the 13th International Conference on the Foundations of Digital Games, FDG 2018. ACM

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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.

Item Type:	Book Section
Status:	Published
DOI:	10.1145/3235765.3235803
School/Department:	School of Science, Technology and Health
URI:	https://ray.yorksj.ac.uk/id/eprint/7955

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