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Evaluation of a Reusable In-Game Analytics Tool for Serious Games in Emotional and Mental Health

Vaccari, Alberto (2024) Evaluation of a Reusable In-Game Analytics Tool for Serious Games in Emotional and Mental Health.

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Abstract:Serious Games for emotional and mental health have gained increasing attention due to their potential in testing new techniques for improving mental health and well-being. Collecting in-game analytics for player’s behaviour can provide invaluable insights and data to support the results of interventions. However, the development of such games and data collection often involves challenges in communication and collaboration between game developers and data analysts. This study addresses these challenges by developing a reusable in-game analytics software tool that standardises the collection of in-game metrics related to player behaviour. Through an iterative process involving feedback from game developers and a senior data analyst, the study identifies usability characteristics deemed important from a developer’s perspective. The study also contributes to the standardisation of metric collection across various Serious Games projects by defining and validating a set of in-game metrics spanning different domains. The study resulted in the successful development of a reusable in-game analytics software tool through an iterative development process involving feedback from game developers and a senior data analyst. The feedback identified key usability characteristics from a developer’s perspective, highlighting the importance of understandability, ease of use, clarity, internal consistency and comprehensive documentation.
Item Type:Essay (Master)
Clients:
GEMHLab, Netherlands
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Interaction Technology MSc (60030)
Link to this item:https://purl.utwente.nl/essays/101752
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