Towards a Framework for Multi-Metric Evaluation of AR Experience (AR UX): Presence, Embodiment, and Task Load

Authors

  • Kathy Wee Mi Lang Pervasive Computing & Educational Technology (PET), Center for Advanced Computing Technology (C-ACT), Fakulti Teknologi Maklumat Dan Komunikasi (FTMK), Universiti Teknikal Malaysia Melaka (UTeM), 76100, Durian Tunggal, Melaka, Malaysia.
  • Mohd Adili Norasikin Pervasive Computing & Educational Technology (PET), Center for Advanced Computing Technology (C-ACT), Fakulti Teknologi Maklumat Dan Komunikasi (FTMK), Universiti Teknikal Malaysia Melaka (UTeM), 76100, Durian Tunggal, Melaka, Malaysia.

DOI:

https://doi.org/10.54554/jtec.2025.17.04.008

Keywords:

Augmented Reality (AR), User Experience (UX), Presence and Embodiment, Task Load Assessment

Abstract

This pilot study examines evaluation metrics for the experiential quality of augmented reality (AR), which plays a critical role in shaping the effectivenss of decision-making. Three established instruments were employed: the Igroup Presence Questionnaire (IPQ) to assess immersion, the Virtual Embodiment Questionnaire (VEQ) to capture ownership and control, and the NASA Raw Task Load Index (NASA-RTLX) to measure cognitive and physical demands. Findings revealed high reliability for the IPQ and VEQ subscales, indicating strong immersion and embodiment, while the RTLX reflected greater variability in workload perceptions. A Venn diagram of participant responses further highlighted how presence, embodiment, and workload intersect to shape overall AR experiences. These multidimensional metrics provide valuable insights into how AR applications can support confident, efficient, and user-centered decision-making in design contexts. The findings demonstrate that presence, embodiment, and task load collectively influence users’ confidence in decision-making and performance when interacting with AR systems. These insights contribute to developing AR applications that better support real-world design and decision-making processes.

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Published

2025-12-24

How to Cite

Kathy Wee Mi Lang, & Norasikin, M. A. (2025). Towards a Framework for Multi-Metric Evaluation of AR Experience (AR UX): Presence, Embodiment, and Task Load. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 17(4), 59–69. https://doi.org/10.54554/jtec.2025.17.04.008