Difficulty-skill balance does not affect engagement and enjoyment:a pre-registered study using artificial intelligence-controlled difficulty

Cutting, Joe, Deterding, Christoph Sebastian, Demediuk, Simon Peter et al. (1 more author) (2023) Difficulty-skill balance does not affect engagement and enjoyment:a pre-registered study using artificial intelligence-controlled difficulty. Royal Society Open Science. 220274. ISSN 2054-5703

Metadata

Item Type: Article
Authors/Creators:
  • Cutting, Joe (joe.cutting@york.ac.uk)
  • Deterding, Christoph Sebastian
  • Demediuk, Simon Peter (sd1491@york.ac.uk)
  • Sephton, Nick
Copyright, Publisher and Additional Information:

© 2023 The Authors.
Dates:
  • Published: 1 February 2023
  • Accepted: 10 January 2023
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
Depositing User: Pure (York)
Date Deposited: 02 Oct 2024 15:40
Last Modified: 23 Jan 2025 00:35
Published Version: https://doi.org/10.1098/rsos.220274
Status: Published
Refereed: Yes
Identification Number: 10.1098/rsos.220274
Open Archives Initiative ID (OAI ID):

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Description: Difficulty-skill balance does not affect engagement and enjoyment: a pre-registered study using artificial intelligence-controlled difficulty

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