Meder, M., Rapp, A., Plumbaum, T. et al. (1 more author) (2017) Data-driven gamification design. In: Turunen, M., Väätäjä, H., Paavilainen, J. and Olsson, T., (eds.) AcademicMindtrek '17: Proceedings of the 21st International Academic Mindtrek Conference. 21st International Academic Mindtrek Conference, 20-21 Sep 2017, Tampere, Finland. ACM Digital Library , pp. 255-258. ISBN 9781450354264
Abstract
Gamification has been attracted much interest, not only in the HCI community, in the last few years. However, there is still a lack of insights and theory on the relationships between game design elements, motivation, domain context and user behavior. In this workshop we want to discover the potentials of data-driven gamification design optimization, e.g. by the application of machine learning techniques on user interaction data in a certain domain.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2017 ACM. This is an author-produced version of a paper subsequently published in AcademicMindtrek '17: Proceedings of the 21st International Academic Mindtrek Conference. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Gamifcation; User Interaction Data; Artificial Intelligence; Machine Learning |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 14 Jun 2021 10:54 |
Last Modified: | 14 Jun 2021 10:54 |
Status: | Published |
Publisher: | ACM Digital Library |
Refereed: | Yes |
Identification Number: | 10.1145/3131085.3131116 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:175094 |