Is ChatGPT Capable of Crafting Gamification Strategies for Software Engineering Tasks

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Abstract

Gamification has gained significant attention in the last decade for its potential to enhance engagement and motivation in various domains. During the last year ChatGPT, a state-of-The-Art large language model has received even more attention both in the field of scientific research and in common use by individuals or companies. In this study, we investigate the possibility of adopting ChatGPT as a tool for designing gamification platforms in the Software Engineering domain. Leveraging the capabilities of ChatGPT, we assess how good is it at generating effective suggestions and ideas for designers or developers. To evaluate ChatGPT's potential as a gamification platform creator we narrowed the context to one particular Software Engineering activity, asking for possible aspects of the activity to be gamified. Each proposed aspect was subsequently unraveled by ChatGPT both asking in a shared and separate context, first following the conversational nature of the model, then applying a validated design framework. The study assesses ChatGPT's ability to select and integrate game elements to build a thriving gamification environment by framing the design of the platform to a state-of-The-Art conceptual framework. To evaluate the goodness of the design choices made we relied both on the Octalysis framework and on personal experience. The findings of the papers show that ChatGPT can only create simple playful experiences not very effective. Although, by instructing the model with more specific desired mechanics and dynamics, it is possible to guide it toward the application of the ideas suggested. We argue that ChatGPT is not capable of building a gamified environment on its own, but it could still be used to build the foundation of a gamification platform as long as the designers refine and rough out the advice gained from a user-centered solution.

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Fulcini, T., & Torchiano, M. (2023). Is ChatGPT Capable of Crafting Gamification Strategies for Software Engineering Tasks. In ACM International Conference Proceeding Series (pp. 22–28). Association for Computing Machinery. https://doi.org/10.1145/3617553.3617887

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