Journal article
The use of eye tracking technology to explore learning and performance within virtual reality and mixed reality settings: A scoping review
Interactive Learning Environments, Vol.30(7), pp.1338-1350
2019
Abstract
This scoping review examines studies using eye tracking technology to monitor learning and performance in virtual or mixed reality settings. The aim of this review is to describe the various ways in which eye tracking devices have been deployed in relation to key aspects of virtual reality and mixed reality environments, list the eye tracking measures most salient to such environments and identify emergent patterns in the findings that the eye tracking data in the studies reviewed have brought to light. Drawing on these findings, an analytical framework for attending to and analysing eye tracking data is proposed and recommendations for future research using eye tracking to optimise learning and performance within virtual reality and mixed reality environments are discussed.
Details
- Title
- The use of eye tracking technology to explore learning and performance within virtual reality and mixed reality settings: A scoping review
- Authors/Creators
- N.A. Rappa (Author/Creator) - Murdoch UniversityS. Ledger (Author/Creator) - Murdoch UniversityT. Teo (Author/Creator) - Murdoch UniversityK.W. Wong (Author/Creator) - Murdoch UniversityB. Power (Author/Creator) - Murdoch UniversityB. Hilliard (Author/Creator) - Murdoch University
- Publication Details
- Interactive Learning Environments, Vol.30(7), pp.1338-1350
- Publisher
- Routledge, part of the Taylor & Francis Group
- Identifiers
- 991005542161307891
- Copyright
- © 2019 Informa UK Limited, trading as Taylor & Francis Group
- Murdoch Affiliation
- Information Technology, Mathematics and Statistics; Creative Media, Arts and Design
- Language
- English
- Resource Type
- Journal article
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Metrics
138 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Citation topics
- 4 Electrical Engineering, Electronics & Computer Science
- 4.284 Human Computer Interaction
- 4.284.1027 Augmented Reality
- Web Of Science research areas
- Education & Educational Research
- ESI research areas
- Social Sciences, general