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Towards a Framework to Assist Iterative and Adaptive Design in Gameful Systems
Fondazione Bruno Kessler, Trento, Italy.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-0416-1787
Graz University of Technology, Graz, Austria.
Fondazione Bruno Kessler, Trento, Italy.
2021 (English)In: Proceedings - 2021 36th IEEE/ACM International Conference on Automated Software Engineering Workshops, ASEW 2021, Institute of Electrical and Electronics Engineers Inc. , 2021, p. 78-84Conference paper, Published paper (Refereed)
Abstract [en]

Over the years, gamification gained consensus among researchers and practitioners as a tool to motivate people to perform activities deemed as tedious or unexciting. Hence, there exist many and heterogeneous application domains that may benefit from gamification. However, the domain expert and the designer are often separate individuals with dissimilar backgrounds, skills, and understanding. Thus, they need a shared language to communicate and to design a gamified system in line with its ultimate goal, the implementation of which can then be left to the developers. While several studies from the literature tackled the problem of formally defining a design language able to assist designers in the code production, they rarely foresee a framework capable to include all the involved stakeholders (e.g., domain experts). Moreover, it is essential to allow those stakeholders to monitor the gameplay at runtime and intervene when necessary, as the design process is intrinsically iterative. In this work, we present a design framework that models the whole life cycle of gamification solutions, from the design to the execution and monitoring of the system. Finally, we present a prototype of the framework implemented in the Education domain. 

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2021. p. 78-84
Keywords [en]
Adaptive Design, Gameful Systems, Gamification Design Framework
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-57628DOI: 10.1109/ASEW52652.2021.00026ISI: 000781851100013Scopus ID: 2-s2.0-85125672905ISBN: 9781665435833 (print)OAI: oai:DiVA.org:mdh-57628DiVA, id: diva2:1645027
Conference
36th IEEE/ACM International Conference on Automated Software Engineering Workshops, ASEW 2021
Available from: 2022-03-16 Created: 2022-03-16 Last updated: 2022-05-04Bibliographically approved

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Cicchetti, Antonio

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