INTERCULTURAL DESIGN TASK 2 - DATA COLLECTOIN
22/02/2025 - 07/03/2025 (Week 4 - Week 5)
Intercultural Design / Bachelors of Design (Honors) in Creative Media / Taylor's University
LECTURES
INSTRUCTIONS
TASK
Project 2: Data Collection
During these weeks, we were assigned to collect data and do further research and analyzation for our project that is relevant to our chosen theme.
Because we were told to create informational TikTok videos later on, we have decided to explore the basic knowledge of traffic signs in general and then plan out both a qualitative and a quantitative research regarding our topic. For the background research, we explored the history of traffic signs and how they are made.
A. BACKGROUND RESEARCH
Historically, traffic signs have existed for centuries. In Ancient Rome, milestone markers were placed along roads to guide travelers. These were the earliest road signs. But the real transformation came with automobiles. As cars became more common, standardized traffic signs became a necessity. In 1949, the Geneva Convention helped create international road sign standards, prioritizing symbols over text for universal understanding.
However, text-based traffic signs can create challenges. For example, the Indonesian sign “Belok Kiri Jalan Terus” (Turn Left, Continue Straight) relies entirely on language, which can be problematic for:
2. Foreign visitors unfamiliar with the language.
3. Cognitive overload, making processing slower.
1. Arrows replace text for immediate understanding.
2. Color coding removes ambiguity.
3. Minimal text improves visibility and processing speed.
For example, the STOP sign is an octagon—its unique shape demands attention. Combined with the color red, which signals urgency, it ensures an immediate reaction before the driver even reads the word 'STOP.'
- Red = Mandatory Action
This system ensures that even in low visibility, drivers can recognize a sign’s meaning at a glance.
The improvement of road signs could involve more intuitive designs, better visibility, and even digital adaptability.
After going through the background research of this project, we proceed on to the next step, which is data collection from outside sources, which includes interviews and surveys. For the interview, we decided to ask several questions to a set of students regarding the topic of traffic. Moreover, we also interviewed an expert to give insight on this as well. The expert we interviewed is a driving instructor that is extremely knowledgeable on traffic signs which would help greatly for us to proceed with the project.
B. ONLINE SURVEY
Questions:
2. Are you a driver? Do you have a drivers license?
3. Do you have these signs in your country?
4. Can you effortlessly tell what these signs are saying if you read it from afar?
5. Do you think humans process images faster than text?
6. If pictogram signs were applied in exchange of text signs, will it be more recognizable and easier for you as a driver to recognize?
C. INTERVIEWS
Questions:
2. Do you have road problems in your country?
3. Are you familiar with these signs?
4. Do you think these signs tend to cause problems at the roads?
5. Would you prefer these signs better? (Showing our pictogram-based design)
Key takeaways of the interview:
2. Major issues that causes a lot of accidents on roads tend to be traffic jams and bumpy concrete.
3. All of the people that we have interviewed view the text-based traffic sign that we showed as an issue.
4. All of the interviewees agreed that pictogram-based designs for traffic signage will be a better alternative.
Below is the PDF file of our Data Collection Powerpoint Slides:
Presentation Video:










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