Project Description: Optimizing Data Visualization Surveys for Enhanced User Experience
Welcome to our enhanced data visualization survey project, building upon the valuable insights gained from our previous experiment (A3). Based on participant feedback, we are embarking on an innovative approach to simplify the survey process and improve overall user experience.
Key Achievements:
Simplified Surveys: The project successfully implemented a segmented approach by creating three separate surveys, each tailored to a specific type of visualization. Participants focused on one survey, significantly reducing cognitive load and enhancing the overall user experience.
Reduced Complexity: The survey questions underwent a transformation to enhance participant engagement. Respondents were tasked with identifying the numeric difference between two data points of interest, addressing previous concerns about question clarity and minimizing confusion during calculations.
Segmented Data Collection: Instead of presenting all 60 images simultaneously, the project adopted a segmented approach. Each participant received 20 images of one type of chart, ensuring the collection of the same amount of data across visualization types while minimizing participant effort.
Color Scheme Analysis: In addition to survey simplification, the project introduced a new dimension by investigating how color schemes impact the average error in participant responses. Each survey featured 10 visualizations with high color contrast and 10 with low contrast, providing valuable insights into the influence of color on user accuracy.
Questions Answered:
The errors were relatively high overall, but the errors for bar charts were the lowest. This may suggest that bar charts are the best way to represent simple numeric data, followed closely by radar charts.
The implementation of simplified surveys and questions did not result in a decrease in the overall average error compared to A3. It is unclear whether or not participants invested more attention and understanding into each question when faced with a shorter task.
The analysis of different color schemes provided insights into how contrast affects participant accuracy. This revealed that the color of visualization did not have a great impact on user perception.