Using Eye-Tracking to Measure Cognitive Load and Anxiety in Virtual Reality Environments: A Systematic Review

• In Event: Technology-Enhanced Learning

Abstract

This study aimed to investigate, through a systematic literature review, the use of eye-tracking technology to measure cognitive load and anxiety related outcomes in immersive virtual reality (IVR) learning and training environments. Following the PRISMA process, a total of 19 qualified studies were retained and reviewed. These studies were coded to answer research questions regarding the contexts of eye-tracking usage, as well as specific eye-tracking indicators measuring the intended outcomes. The results suggest that utilizing multiple metrics is necessary for a more accurate assessment of cognitive load versus anxiety related outcomes. Additionally, the results highlight the need for more eye-tracking research in IVR learning and training environments involving more diverse learning tasks and populations.

Authors

• Xiaoxia Huang, Syracuse University

• Yuyue Wang, Syracuse University

• Elyas Amar Layachi, Syracuse University

• Jinru Zhou, Syracuse University

• Adhishree Viti, Syracuse University

• Rifah Elahi, Syracuse University