Horn, Britton, Cooper, Seth and Deterding, Christoph Sebastian orcid.org/0000-0003-0033-2104 (2017) Adapting Cognitive Task Analysis to Elicit the Skill Chain of a Game. In: CHI PLAY'17. The ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play, 15-18 Oct 2017 ACM , NLD
Abstract
Playing a game is a complex skill that comprises a set of more basic skills which map onto the component mechanics of the game. Basic skills and mechanics typically build and depend on each other in a nested learning hierarchy, which game designers have modelled as skill chains of skill atoms. For players to optimally learn and enjoy a game, it should introduce skill atoms in the ideal sequence of this hierarchy or chain. However, game designers typically construct and use hypothetical skill chains based solely on design intent, theory, or personal observation, rather than empirical observation of players. To address this need, this paper presents an adapted cognitive task analysis method for eliciting the empirical skill chain of a game. A case study illustrates and critically reflects the method. While effective in foregrounding overlooked low-level skills required by a game, its efficiency and generalizability remain to be proven.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Authors, 2017. |
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) |
Funding Information: | Funder Grant number EPSRC EP/M023265/1 |
Depositing User: | Pure (York) |
Date Deposited: | 30 Aug 2017 08:15 |
Last Modified: | 16 Oct 2024 10:53 |
Published Version: | https://doi.org/10.1145/3116595.3116640 |
Status: | Published |
Publisher: | ACM |
Identification Number: | 10.1145/3116595.3116640 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:120653 |
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