A VR based children formula feed preparation training simulator with AI-enabled automated assessment features

Abstract

Due to the remarkable advancement of technology, smaller form factors and affordability, immersive technologies such as Virtual Reality (VR) are getting considerable attraction in the research community. The use of VR in various fields, i.e., health care education, gaming, social media etc. is now well established. Among these, perhaps the most dynamic area of VR application is the ‘Skill Training’ sector. VR has been in use for training people for critical tasks (both cognitive and procedural) as it requires less training time and the training cost can also be minimized significantly. Moreover, prior research shows that VR can improve memory retention and reduce human error, which subsequently shows the effectiveness of VR training. In this paper, we have proposed a novel VR training simulation regarding children's formula milk preparation. Though ‘formula milk preparation’ appears to be a trivial task, it indeed possesses substantial dangers in perspective to the child's health and well-being. Because of the trivial nature of the task, there is always a possibility of human errors while performing the baby feed preparation. We argue, through a VR-based training platform, the human error part can be minimized since the trainee will perform the actions procedurally, resulting in greater retention of the suggested process. In addition to this, we have also proposed a novel AI-enabled backend training performance assessor that can assess the performance of trainees while they are trained in VR.