(2) Establishing a New Computational Method to Predict Effects of Gaming: A Feasibility Study on Growth Mindset

Published in Lecture Notes in Computer Science, 2025

We present a novel method for approximating potential psychological effects of video games on players utilizing computational text analysis and artificial intelligence. Focusing specifically on growth mindset – a psychological construct associated with learning and resilience – we analyze player-generated reviews on the Steam gaming platform. In particular, reviews were examined using a specifically developed growthmindset dictionary derived from key psychological texts and validated questionnaires. Utilizing over 1 million user-generated reviews across eight distinct game genres, we identified that puzzle, roguelike, and platformer games showed a higher prevalence of growth mindset-related terms when compared to genres that we considered unrelated to growth mindset (e.g., zen, cozy, walking simulator). This aligns well with a growth mindset meaning system, as these genres inherently involve setting objectives, exerting effort, learning from setbacks, and refining strategies through gameplay. In addition, exploratory BERTopic modeling identified four topics with a clear relation to the concept of a growth mindset. These topics emerged differentially across genres with a pattern like the one found with the dictionary, further corroborating our findings. These results confirm theoretical assumptions in the field with a new methodological approach, opening avenues for precisely targeted research on video game effects and informed selection of video game-based interventions.

Recommended citation: Ninaus, M., Edlinger, M., Scheucher, N. & Huber, S.E. (2025). Establishing a New Computational Method to Predict Effects of Gaming: A Feasibility Study on Growth Mindset. In: Schönbohm, A., et al. (eds.), Games and Learning Alliance: 13th International Conference, GALA 2024, Berlin, Germany, November 20-22, 2024, Proceedings (pp. 81-91). Lecture Notes in Computer Science, vol 15348. Springer, Cham.
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