How easy is it to eXtend Reality? A Usability Study of Authoring Toolkits

Thanyadit, Santawat; Heintz, Matthias; Law, Effie Lai-Chong; Mangina, Eleni

doi:10.54941/ahfe1002707

How easy is it to eXtend Reality? A Usability Study of Authoring Toolkits

Thanyadit, Santawat; Heintz, Matthias; Law, Effie Lai-Chong; Mangina, Eleni

Authors

Santawat Thanyadit

Matthias Heintz

Professor Effie Law lai-chong.law@durham.ac.uk
Professor in Computer Science

Eleni Mangina

Contributors

Tareq Ahram
Editor

Redha Taiar
Editor

Abstract

Extended Reality (XR) has the potential to be a very successful teaching tool because it enables students to engage with a learning environment that incorporates both physical and virtual objects. Nevertheless, preparing an XR lesson requires technical skills and pedagogical storytelling, which might be challenging for many teachers who lack relevant knowledge. As a solution, support systems such as XR Lesson Authoring Toolkits (XRLATKs) are needed to provide educators with the resources and tools necessary to create effective and engaging XR lessons. The goal of this paper is to describe a mixed-method usability evaluation of MirageXR, an interactive XRLATK prototype. Ten participants were instructed to assume the perspective of a teacher and create an XR lesson with MirageXR. Questionnaires and interviews were conducted to gather feedback. The empirical data were analysed to contribute to the development of MirageXR.

Citation

Thanyadit, S., Heintz, M., Law, E. L., & Mangina, E. (2022). How easy is it to eXtend Reality? A Usability Study of Authoring Toolkits. In T. Ahram, & R. Taiar (Eds.), Human Interaction & Emerging Technologies (IHIET 2022): Artificial Intelligence & Future Applications. AHFE International. https://doi.org/10.54941/ahfe1002707

Acceptance Date	Aug 31, 2022
Online Publication Date	Aug 31, 2022
Publication Date	2022
Deposit Date	Aug 31, 2022
Publicly Available Date	Aug 31, 2022
Series Number	68
Book Title	Human Interaction & Emerging Technologies (IHIET 2022): Artificial Intelligence & Future Applications
DOI	https://doi.org/10.54941/ahfe1002707
Related Public URLs	https://openaccess.cms-conferences.org/#/publications/book/978-1-958651-44-5/article/978-1-958651-44-5_1