Abstract

ARdoa is Mobile Augmented Reality (MAR) application used as a therapy media for children with Autism Spectrum Disorder (ASD). The content of this application is daily prayers for Muslim children, and it is designed in the form of audio-video animation. This paper is aimed at discussing the evaluation and testing of the development process of MAR ARdoa. Technical evaluation and testing are conducted on several aspects, specifically testing the detection and tracking. Moreover, the method used in the process is to identify the distance, surface area and ideal conditions for the utilization of this application. The completion of the test is based on whether or not the content appearing on the marker has been made. From the evaluation and testing process, it is obtained ideal distance, surface area and conditions for the utilization of MAR ARdoa that can be used as standards for its development.

Highlights

  • Technology has a great potential to be used as a tool in the provision of support in the field of education for people with Autism Spectrum Disorder (ASD) [1]

  • Mobile Augmented Reality (MAR) Ardoa can run well on all three different smartphones. This shows that the difference specification does not provide the difference in the performance of MAR Ardoa

  • The differences from the use of the device specification are found at the early detection of the target image

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Summary

Introduction

Technology has a great potential to be used as a tool in the provision of support in the field of education for people with ASD [1]. This study discusses the testing of MAR Ardoa [13] of some technical aspects. The purpose of this test is to identify how to apply an ideal MAR Ardoa technically. The test is the test for the detection. This process is performed to determine the ability of the application to recognize the target image. Some of the tests performed are time, distance, and surface area range testing

Testing device
Supporting theory
Image rating target testing
Testing of detection time
Testing of the minimum distance detection
Testing of color printing
Findings
Conclusion
Full Text
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