EVALUATION OF PERCEIVED QUALITY BY VIDEO GAME PLAYERS USING NEURAL NETWORKS TO IMPROVE DEVELOPMENT PROCESSES
DOI:
https://doi.org/10.18623/rvd.v23.n4.4741Abstract
The article considers that the quality perceived by video game players is a complex factor to measure, which sets the tone for this research to use neural networks, as they are a system capable of processing information, recognizing patterns, and approximating an appropriate response, which is a critical point in an industry that has one of the highest annual growth rates in the world. The methodology used is based on exploratory research with descriptive and correlational elements, which were defined using the following reference criteria: published studies, market analysis, and industry financial reports. These were applied in questionnaires that classified elements of quality and level of impact, which were answered by video game players to estimate the value of perceived quality with the help of neural networks. The results obtained from the titles evaluated showed acceptable reliability, which will support the development process and monitor the performance of a video game during its useful life, providing information that can facilitate and guide processes in continuous improvement cycles for future video games.
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