Many plots. Part 3
This visualization presents a small-multiple grid of scatter plots, with each plot showing data from one participant who solved math problems while their eye movements were tracked. The x-axis consistently represents problem order, while the y-axis can be toggled via a menu to display either average fixation duration, no-fixation percentage, or response time. A second menu sorts the individual participant plots by their average response time or percentage of correct answers. Overlaid red trend lines reveal whether the chosen y-axis measure changes over the course of the experiment. The plots are colored by correctness, and a legend allows filtering points to view only correct or incorrect responses. The visualization is built with D3 v7, using its selection API and scale functions, and renders participant-specific trend lines calculated from the data.
AI-generated descriptionThis is a dataset from WPI MAPLE Lab study conducted in 2021-2022. 86 undergraduate students solved math problems in the lab and their eye-movements during the solving process were collected with eye-tracking software. Each participant solved 24 problems: 12 with and 12 without brackets.
Data dictionary:
- Participant_ID' - Anonymized participant ID. Categorical.
- 'Problem_ID' - Problem title. Categorical.
- 'Order' - The order of the problem in the experiment. Ordinal.
- 'Brackets' - If equation contains brackets. Categorical.
- 'Response_time' - How long did it take fot participant to response. Quantitative.
- 'Correct_or_not' - If participant’s response was correct ot not. Categorical.
- 'Average_duration_of_fixations' - How long participant fixated on each digit (on average). Quantitative.
- 'No_fixation_percentage' - On how many digits participant did not fixate? Quantitative.
The following information could be visualized:
- Did average fixation duration change over the time of the experiment? Did it change differently in different participants?
- Was response time associated with correctness? Did this association change over the time of the experiment?
- Did people tent to answer longer in problems with brackets and did this association change over the time of the experiment?
- Was tendency to use peripheral vision associated with response corectness? Did this association change over the time of the experiment?