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✓ Published1🌍 Public
AAlena Egorova
Last edited Mar 29, 2023
Created on Mar 20, 2023

This interactive scatterplot lets users explore eye-tracking data from a study of 86 undergraduates solving math problems. A dropdown menu, built with D3.js, dynamically switches the y-axis between average fixation duration, no fixation percentage, and response time. Each point represents a problem, colored by correctness, with a regression line revealing trends over problem order. The visualization highlights associations between response time, fixation patterns, and performance. Data is fetched from a remote CSV and rendered using D3's scaleLinear, scaleOrdinal, and axes utilities.

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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