Major Project I
4 Feb 2026 - 20 March 2026
CHONG CHENG TAO (0371072)
Major Project| Bachelor of Design in Creative Media | Taylor's University
List
LECTURES
Week 1
Ms. Anis gave us some brief regarding the scope and requirement of this
module.
INSTRUCTIONS
This is the Module Information Booklet for this module:
-
Project Managment Document
- Lo-fi prototype
- Presentation Slides
Project Management Document
Project Management Document
Lo-fi Prototype
Presentation Slides
REFLECTIONS
Challenges
This project has been a significant challenge for me, in both technically
and creativity. It began with a simple thought and gradually evolved into
something much more complex. Trying out creative coding kind of pushed me
out of my comfort zone. As an artist myself, I treat this as an opprtunity
to break throught the creative boundaries.
The New Workflow
Another major aspect would be my workflow involves the use of AI. AI involve
largely in this project, throughtout ideation to execution.
As a UI/UX student, I'm used to the "classic" workflow:
- Empathy → Define → Ideation → Prototype → Testing → Refinement
This is what teached in class too.
However, I have been involving myself more in AI vibe coding, I've come to
prefer to validate the "ideas" & "prototype" before other tasks. I can
build a raw workable prototype in a short time using tools like Google AI
Studio, Figma Make, Lovable, Cursor, Antigravity.....(any AI coding
tools).
When come to build experimental and speculative project, I found this method
much more effective and provide a good feedback loop.
My workflow in this project:
- Ideation → Prototype (using AI tools) → Testing → Research (Empathy & Define, based on real context) → Re-ideation (loop started again)
Learning with AI
Just like Rick Rubin said, "I have no technical ability, but I have
confidence in my taste and my ability to express what I feel". This is
what I feel as an designer in AI era.
HOWEVER, "taste" doesn't fall from the sky, it is the accumulation of
one's thinking, experience and emotions developed over time. It is most
likely to build through practice, trial and error when we actually immerse
ourselves in learning something.
Which is quite interesting, the more I use AI, the more I appreciate the
foundational knowledge and skills. I can feel the "compound interest" in
learning basic knowledge and skills (especially creative coding in this
project). One small part of knowledge can root out into various paths with
the assistance of AI.
I can have an air fryer, but a chef with air fryer can always cook better
than me. Don't stay on the peak of Dunning-Kruger effect is the mindset I
will keep reminding myself.
Dunning-Kruger effect
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