Experiential Design Task 4
21/4/2025 - 15/8/2025 / Week 1 - Week 14
Jie Xuan/ 0356515
Experiential Design/ Bachelor of Creative Media/Taylor's University
Experiential Design Task 4: Project MVP Prototype
TABLE OF CONTENTS
1. Instructions
2. Lecture
INSTRUCTIONS
Task 4 Final Project Instructions:
Timeframe: Week 12 – Week 14
Deadline: Week 14
Description:
A) Final Project – Completed Experience – 30 %
Students will synthesise the knowledge gained in task 1, 2 and 3 for application in task 4. Students will create integrate visual asset and refine the prototype into a complete working and functional product
experience.
B) E-Portfolio - 10 %
Students describe and reflect on their social competencies within the design studio context, supported by evidence. Reflect on how to empathize with others within group settings, interact positively within a
team and foster stable and harmonious relationships for productive teamwork. The reflective writing is part of the TGCP.
Requirements:
Project file and Folders
Application installation files (APK for android, iOS Build Folder for IOS/iPhones)
Submission:
Online posts in your E-portfolio as your reflective studies
Video walkthrough (Presentation)
LECTURE
TASK 4 FINAL PROJECT
Tutorials video that help us in our work:
In the final task, we focused on implementing image tracking and integrating sound into the scanning page. We also fine-tuned the pop-up image to ensure it appears as intended during the scanning process.
We inserted the sound recording and configured it to play only when the button is clicked.
image tracking code
After all the scanning image part we do the game part. In the game section, we set up trigger clicks corresponding to the correct image and name. If the match is correct, a "Correct!" pop-up appears; if it's wrong, it shows "Try Again." After completing the game, a "Congratulations" pop-up appears, and the session ends by returning to the "Choose Story Book" page.
I try to export as APK but got some issue so I ask ChatGPT again. So here are the solution and I try again and solve the problem.
Final Submission of the AR App:
Final outcome walkthrough video:
Final Presentation:
Partner Blog: https://0369651.blogspot.com/2025/08/exp-design-final-project-submission.html
FEEDBACKS
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REFLECTION
Experience
Honestly for me I think developing an AR App is not easy at all. At first, implementing features like image tracking and pop-up visuals seemed overwhelming. However, by searching some online tutorials and support tools, we gradually solve the problem and gained confidence in Unity.
The most satisfying moment was seeing our final AR storybook prototype run successfully in Unity, with both scanning and gaming functions working smoothly. Although we encountered issues while exporting the app to an Android device, asking ChatGPT for solutions helped us resolve the problem efficiently and independently.
Overall, this project enhanced our technical skills, problem-solving abilities, and teamwork. It also deepened our appreciation for how AR can be used creatively in interactive storytelling.
Observation
Throughout the process of developing our AR storybook app, tutorial videos played a crucial role in helping us understand the technical aspects of image tracking, sound integration, and interactive gameplay design. We observed that the step-by-step guides offered clear demonstrations on how to use tools such as EasyAR within Unity, especially for setting up image targets and attaching scripts for audio and animations.
During the final task, we noticed that precise alignment of the image target and the positioning of pop-up visuals were essential to create a smooth scanning experience. Misalignment or incorrect scaling often caused the visuals to float off-target or not appear at all, which highlighted the importance of attention to detail in the Unity scene.
We also observed that implementing interactivity—like button-triggered sounds or matching games—required accurate script configuration and UI feedback (e.g., “Correct!”, “Try Again”, and “Congratulations” prompts) to guide user actions.
Findings
We discovered that image tracking performs best with high-quality, high-contrast reference images, and that the audio component should be manually triggered via a button to give users better control and avoid automatic playback. Implementing trigger-based matching in the game section required precise connections between images, names, and UI feedback to function correctly. Additionally, exporting to Android (APK) proved to be more complex than expected, with issues such as missing Android Build Support halting progress. However, by using resources like ChatGPT and tutorial videos, we were able to troubleshoot these problems effectively—for example, resolving a failed APK export by identifying and installing the necessary build modules.
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