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Creators/Authors contains: "Fang, Emily"

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  1. This preliminary study examined how users leveraged three different types of signaling elements in Scale Worlds, an immersive virtual reality (IVR) application designed to improve size and scale cognition. Signaling elements, which are instructional cues in the form of graphics, colors, sounds, or text in IVR, may improve learning outcomes by enhancing related cognitive processes. However, it is unclear the extent to which learners utilize these signaling elements in practice. A think-aloud protocol was used to examine how participants engaged with signaling elements, with thematic analysis suggesting that numerical measures were a particularly salient cue for conceptualizing the size and scale of entities in IVR. These findings can guide design decisions for future work on educational IVR in the context of size and scale cognition or STEM education, as implementing numerical measures to facilitate mathematical reasoning in IVR environments may bolster learning outcomes related to numeracy and conceptual understanding. 
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    Free, publicly-accessible full text available August 11, 2026
  2. Manual material handling (MMH) tasks can pose risks of musculoskeletal disorders for workers, which makes posture training programs essential. The ultimate goal of this research was to design and evaluate an augmented reality (AR) based training platform, namely the virtual instructor application (VIA). Specifically, the usability problems revealed from the preliminary version (VIA-1) were addressed and enhanced features were implemented in the current version (VIA-2). The usability of VIA-2 was assessed by ten individuals with experience of MMH. Participants explored VIA-2 while performing a series of predefined tasks. A usability questionnaire was administered, and a brief interview was conducted. Results showed that VIA-2 had increased usability compared to VIA-1. While some visual content display issues occurred, a future minor refurnish can address these problems. Finally, the iterative design and evaluation scheme can be applied to the future design of AR-based training programs and evaluation protocols. 
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