Investigating User-Created Gamification in an Image Tagging Task

Marc Schubhan; Maximilian Altmeyer; Dominic Buchheit; Pascal Lessel

In: CHI ’20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. ACM International Conference on Human Factors in Computing Systems (CHI-2020), April 25-30, Honolulu, HI, USA, ISBN 978-1-4503-6708-0, ACM, New York, 2020.


Commonly, gamification is designed by developers and not by end-users. In this paper we investigate an approach where users take control of this process. Firstly, users were asked to describe their own gamification concepts which would motivate them to put more effort into an image tagging task. We selected this task as gamification has already been shown to be effective here in previous work. Based on these descriptions, an implementation was made for each concept and given to the creator. In a between-subjects study (n=71), our approach was compared to a no-gamification condition and two conditions with fixed gamification settings. We found that providing participants with an implementation of their own concept significantly increased the amount of generated tags compared to the other conditions. Although the quality of tags was lower, the number of usable tags remained significantly higher in comparison, suggesting the usefulness of this approach.

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Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence