21/4/2025 - 27/7/2025 / (Week 1 - Week 14)
Aricia Man Yi Xuan / 0375026
Design Research Methodology / RES60604
Bachelor of Design (Hons) in Creative Media
TABLE OF CONTENT
1. Instructions
2. Task 1: Research Proposal
3. Task 2: Critical Review
4. Task 3: Primary Data & Analysis
5. Task 4: Research Reflection Report
6. Presentation Slide
6. MP4 Presentation
8. Feedback
9. Reflection
INSTRUCTIONS
Figure 1.1.1: Module Information
TASK 1
Figure 2.1.1: Task 1: Research Proposal
TASK 2
Figure 3.1.1: Task 2: Critical Review
TASK 3
Figure 4.1.1: Task 3: Primary Data & Analysis
TASK 4 - Final Report
Figure 5.1.1 Final Report / (Week 14, 24/7/2025)
PRESENTATION SLIDES
Figure 6.1.1: Presentation Slide / (Week 14, 24/7/2025)
PRESENTATION MP4
Figure 7.1.1 Presentation YouTube Video / (Week 14, 24/7/2025)
Presentation YouTube Video Link: https://youtu.be/TGuO76u9e4k?si=mUk3Po1pLt4EY_bD
FEEDBACK
Figure 8.1.1: Feedback / (Week 14, 24/7/2025)
REFLECTION
This research methodology has been a long journey and I gained a lot of
knowledge. At the beginning, I honestly felt overwhelmed as I didn’t know
we actually had to do a full research in this semester. I didn’t really
know what a proper research methodology structure looked like at the
beginning. We had to read all the materials provided in the MIB, which was
honestly a lot. The most difficult part I think was choosing the research
topic. I had so many ideas in my head, but I didn’t know which one would
be suitable or interesting enough to study within the short time we had.
It took me a few days just to finalize the research topic. Once I decided
on studying Gen Z’s interaction with AI chatbots, everything went
smoother, but new challenges came along. After that, I went through the
process: reading articles, coming up with research questions and
objectives, doing critical review, building a survey and analyzing them.
During analyzing the responses using Excel, I experienced some stress. I
made several mistakes in the calculations and data presentation and the
submission was close to the deadline. Thankfully, Dr. Wong gave me helpful
feedback and pointed out the mistakes I made, especially in converting raw
data into accurate percentages and fixing the chart axes. Luckily, I
managed to submit Task 3 in time.
Observation:
Findings:
Through this research, I noticed how much Gen Z cared about user
experience. From the survey’s responses, things like fast response time, a
natural tone, clean layout, and clear navigation were important to them.
Some respondents even mentioned that they stop using chatbots if they feel
robotic or confusing. This shows that people don’t just want the chatbot
to function well, they want it to feel human and easy to talk to. Other
than that, I noticed that even though chatbots are not human, many users
still expect them to show empathy or at least respond in a way that feels
comforting, especially when asking for help. This was something I expected
as I also use ChatGPT when I need emotional support and I wish they could
really understand how we felt. Moreover, I now understand how much design
and tone can affect how people feel about using chatbots.
Findings:
From the survey and article reviews, I found that most of the Gen Z users
prefer using chatbots with a simple text interface. It’s not that they
dislike visuals or voice, but they prefer more clarity and familiarity.
They wanted something that was straightforward and didn't feel too
complicated. Also, in terms of trust and user satisfaction, I learned that
friendliness, personalization, and clear layout were important. When a
chatbot feels more natural, offers options to customize replies, users
would feel more engaged and understood. Overall, this project helped me
gain valuable knowledge and skills in analyzing data. I’m very thankful to
Dr. Wong for all the advice and feedback given; it really helps me a lot
in this project.
Comments
Post a Comment