At ESTIN, a recent student survey explored how visual design — colors, chart types, and layout — affects trust in data. The findings show that design choices carry meaning far beyond aesthetics.
What Students Notice
When asked what draws their attention first in a data visualization:
- 33% pointed to the type of chart (bar, line, pie),
- 28% noticed colors or visual design, and
- 22% focused on the title or caption.
These results show that perception begins with visuals, not numbers — design sets the stage for how information is interpreted.
Design and Trust
Over half of participants (57%) said design choices affect their trust in data “a lot,” while another 28% said “somewhat.”
Clear and balanced visuals inspire confidence, while overly stylized ones raise doubt.
“Even when the numbers are right, a distorted visual can change how we perceive reality,” one student noted.
Who Students Trust
When they see professional-looking charts, 43% of respondents assume they come from companies or institutions with specific agendas, while 29% attribute them to credible academic sources.
This shows that design not only conveys information but also communicates identity and intent.
Awareness and Ethics
More than 60% of students said they had encountered misleading charts or infographics that appeared convincing but distorted information.
An overwhelming 86% agreed that ESTIN should include more on data communication and visualization ethics, and 70% said they would join a related workshop or challenge.
The Takeaway
For ESTIN’s future engineers — especially in AI, IoT, and cybersecurity — learning how design shapes trust is becoming essential.
The survey highlights a growing awareness that good data science is not just about algorithms and precision, but also about clarity, ethics, and responsible communication.