<p>This paper examines the human perception and discrimination of viscous forces in virtual haptic environment using multiple algorithms. The accurate perception of viscoelastic environmental properties, notably viscosity, holds crucial significance across various contexts, including surgery, rehabilitation and training. We investigate and contrast the capacity to perceive viscosity with respect to detection and discrimination by employing several pertinent rendering algorithms. Despite research progress on purely elastic and purely viscous materials, our understanding of how we perceive viscoelastic materials remains limited. This paper endeavors to design a virtual reality application for simulating interactions between tools, fluids, and membranes, employing an economical, off-the-shelf haptic device and an open-source software framework. Based on the participant response, the viscous models were rated higher than friction force models in rendering realistic and distinguishable forces. The assessment, both qualitative and quantitative, indicated that gel-based deformable viscous models are more effective in enhancing motor skills due to their immersive and realistic nature. This study underscores the ability of both friction and deformable visuo-haptic virtual models to provide realistic distinguishable feedback, improve immersion, usefulness in training, and effectiveness in enhancing motor skills. </p>