Denisova, Alena orcid.org/0000-0002-1497-5808, Cairns, Paul orcid.org/0000-0002-6508-372X, Guckelsberger, Christian et al. (1 more author) (2020) Measuring perceived challenge in digital games:Development & validation of the challenge originating from recent gameplay interaction scale (CORGIS). International Journal of Human Computer Studies. 102383. ISSN 1071-5819
Abstract
Challenge is a key element of digital games, but a clear conceptualisation and operationalisation of this player experience were long missing. This made it hard for game researchers to measure this experience in different video games across different skill sets and impeded the synthesis of challenge-related games research. To overcome this, we introduce a systematic, extensive, and reliable instrument to evaluate the level of players’ perceived challenge in digital games. We conceptualise challenge based on a survey of related literature in games user research, design and AI, as well as interviews with researchers and players. Exploratory factor analysis (N=394) highlights four components of experienced challenge: performative, emotional, cognitive and decision-making challenge. Refinement of the items allowed us to devise the Challenge Originating from Recent Gameplay Interaction Scale (CORGIS), which has been further validated in a study with nearly 1000 players. The questionnaire exhibits good construct validity for use by both game developers and researchers to quantify players’ challenge experiences.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 Elsevier Ltd. All rights reserved. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. |
Keywords: | Difficulty,Digital games,Emotional challenge,Game experience,Games user research,GUR,Measurement instrument,Perceived challenge,Player experience,PX,Questionnaire,Scale development,Scale validation |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) |
Depositing User: | Pure (York) |
Date Deposited: | 10 Dec 2019 11:40 |
Last Modified: | 07 Jan 2025 00:12 |
Published Version: | https://doi.org/10.1016/j.ijhcs.2019.102383 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1016/j.ijhcs.2019.102383 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:154425 |
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