Meta-Interface Analysis for Interaction in Mobile Augmented Reality

Firmanda, Ardiman; Sukaridhoto, Sritrusta; Rante, Hestiasari; Miranto, Cahya; Fajrianti, Evianita Dewi; Prasetyaningsih, Sandi

doi:10.33022/ijcs.v11i2.3058

Cited by 2 publications

(2 citation statements)

References 16 publications

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“…Interface A study by Firmanda et al [29] examined the effectiveness and usability of meta-interfaces in mobile AR applications. They emphasized the importance of a clear and intuitive meta-interface, including visual design, interaction techniques, and information presentation.…”

Section: A the Current Immersive Research On Evaluating Usermentioning

confidence: 99%

Performance Analysis of Meta-UI on Membatik Mixed Reality Application Using Nielsen’s Heuristic Method

Rante,

Hanifati,

Hakim

et al. 2024

Int. J. Adv. Sci. Eng. Inf. Technol.

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Moving beyond immersive learning, the rapid advancement of Mixed Reality (MR) technology is diversifying its applications across various sectors, including education, healthcare, and corporate training. However, standalone MR devices pose challenges related to performance and visualization realism. In this study, we focused on enhancing immersive learning by optimizing the User Interface (UI) of an MR batik-making application using the Meta-UI principle. This research aimed to assess the impact of these UI approaches on user satisfaction, measured through Nielsen's usability methods. User feedback was collected and analyzed to refine the UI design. Nielsen's usability heuristics guided the evaluation of UI attributes such as clarity, efficiency, and user satisfaction. The utilization of Meta-UI demonstrated a notable increase in user satisfaction. Nielsen's usability guidelines indicated ratings ranging from 3.93 (good) to 4.30 (very good), signifying users' positive perceptions of learnability, efficiency, memorability, error handling, and overall satisfaction within the MR batik-making application. This research also addressed these issues by meticulously optimizing 3D assets within MR applications. The results indicated that the application's CPU utilization is around 22%, attributed to its startup processes, resource allocation, and any initial computations it performed. However, the application continued to run within 4 GB of installed memory with the network bandwidth usage at 0.27 Mbps. User comfortability was enhanced, which is evident in improved ratings for importance and satisfaction levels (4.26 and 4.16, respectively) in the MR application.

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Section: A the Current Immersive Research On Evaluating Usermentioning

confidence: 99%

Performance Analysis of Meta-UI on Membatik Mixed Reality Application Using Nielsen’s Heuristic Method

Rante,

Hanifati,

Hakim

et al. 2024

Int. J. Adv. Sci. Eng. Inf. Technol.

View full text Add to dashboard Cite

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“…Users will be shown highlights around 3D objects related to the step. Another interface that helps the user to finish the scenario we utilize the type of meta-UI where a HUD (Head-Up Display) will appear in front of the user [29]. The HUD shows the current task and the objective to finish the current task, as we can see in Error!…”

Section: Stepsmentioning

confidence: 99%

Comparative Study of 3D Assets Optimization of Virtual Reality Application on VR Standalone Device

Sukaridhoto¹,

Haz²,

Fajrianti³

et al. 2023

Int. J. Adv. Sci. Eng. Inf. Technol.

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The progress of VR technology is undeniably rapid and reaches many sectors unrelated to what it first came out of entertainment. Today, many educational, health care, company training, etc., use and utilize VR in one way or another as their first step to familiarize a concept or procedure with their members or workers. The advantages of implementing educational content with VR are ease of development, cheap operational cost, and safety. This kind of approach is a good step considering the impact of VR technology on those cases. However, because the leading device for VR is a standalone VR, some things to consider are performance and visualization. Some early adaptations have these problems, performance issues, and the realism of visualization shown on the VR application. We can minimize those problems by meticulously optimizing 3D assets used in VR applications. The optimization method improved the average FPS on CBIVT by 14.02% on Quest 1 and 8.99% on Quest 2. The GPU utilization level percentage of Quest 1 decreased by 6.73%, and the Quest 2 GPU utilization level percentage decreased by 11.72%. On the other metrics, the user's comfortability also increases because of the enhancement of performance on the CBIVT application. These changes are marked by the increase in Important and Satisfactory levels to 4.26 and 4.16, respectively.

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Meta-Interface Analysis for Interaction in Mobile Augmented Reality

Cited by 2 publications

References 16 publications

Performance Analysis of Meta-UI on Membatik Mixed Reality Application Using Nielsen’s Heuristic Method

Performance Analysis of Meta-UI on Membatik Mixed Reality Application Using Nielsen’s Heuristic Method

Comparative Study of 3D Assets Optimization of Virtual Reality Application on VR Standalone Device

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