Effectiveness of Game-Based Interactive Approach Using Deep Learning Framework for Dyslogia."

Authors

DOI:

https://doi.org/10.21015/vtse.v12i3.1863

Abstract

Traditional speech therapy approaches have long been considered revolutionary for treating speech disorders. However, as the younger generation becomes increasingly disengaged from these methods, their effectiveness is diminishing. This study identifies the need to revitalize traditional practices by integrating them into virtual environments and incorporating gamification elements. The motivation behind this work is to enhance engagement and improve therapy outcomes by making the process more appealing to children. Our proposed solution involves converting conventional speech therapy exercises into interactive virtual modules that incorporate game-like features to sustain interest and foster a competitive spirit. The method includes developing these virtual modules and testing their effectiveness through user trials. Results indicate a significant increase in engagement and a corresponding improvement in therapy outcomes, suggesting that this approach holds promise for enhancing the effectiveness of speech therapy in the digital age.

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Published

2024-08-15

How to Cite

Mahmood, E., Hassan, N., Qazi, F., & Gohar, S. (2024). Effectiveness of Game-Based Interactive Approach Using Deep Learning Framework for Dyslogia.". VFAST Transactions on Software Engineering, 12(3), 11–22. https://doi.org/10.21015/vtse.v12i3.1863