Data-driven gamification design

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.

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Authors/Creators:	Meder, M. Rapp, A. Plumbaum, T. Hopfgartner, F. https://orcid.org/0000-0003-0380-6088
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:	Published: 20 September 2017
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:	https://doi.org/10.1145/3131085.3131116
Related URLs:	Conference

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Data-driven gamification design

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