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Many plots. Part 3

✓ Published0🌍 Public
AAlena Egorova
Last edited Apr 28, 2023
Created on Apr 23, 2023
Forked from Many plots. Part 2

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 description

This 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:

  1. Did average fixation duration change over the time of the experiment? Did it change differently in different participants?
  2. Was response time associated with correctness? Did this association change over the time of the experiment?
  3. Did people tent to answer longer in problems with brackets and did this association change over the time of the experiment?
  4. Was tendency to use peripheral vision associated with response corectness? Did this association change over the time of the experiment?
MIT Licensed

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