Adaptive Immersive VR Training Based on Performance and Self-Efficacy

Abstract

Effective training requires that the training experience fits the ability and confidence (i.e., self-efficacy) of the trainee. Specifically, the individual's self-efficacy should ideally be slightly higher than the difficulty of a given task. A significant benefit of immersive virtual reality (IVR) is the potential to utilize measures of trainee behavior to continuously adapt the training content to the individual. However, a major challenge involves the identification of relevant measures that can be used to adapt training content in a way that increases training output. The current paper aims to inspire further research on adaptive IVR training by describing the design and development of a study on adaptive IVR training where the use of self-efficacy measures for adaptation marks a point of departure from prior literature. The design of the proposed study is informed by analyses of results from previous IVR studies.