© 2021 IEEEIn order to provide improved multimedia services to the end users, developing objective models efficiently predicting 3 Dimensional (3D) video Quality of Experience (QoE) can currently be considered as one of the most significant research areas. Nevertheless, there is currently no model standardized and widely utilized by the researchers due to its efficient and reliable assessment of the 3D video quality. Therefore, highly exploited 2 Dimensional (2D) video quality assessment models such as Structural SIMilarity Index (SSIM) are preferred for the 3D video quality evaluation. However, providing efficiency and reliability for the 3D video quality assessment using the 2D video quality assessment models can only be ensured if they include 3D video related features effecting Human Visual System (HVS). Under the light of these information, the SSIM model is improved for the 3D video quality assessment using perceptually significant feature, contrast and motion characteristics having impact on the HVS in this study. The results obtained by utilizing the improved SSIM model clearly present that the model is quite competent to provide enhanced multimedia services to the end users.