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

Abstract

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.