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AAlena Egorova
Last edited Apr 5, 2023
Created on Apr 5, 2023

This visualization displays eye-tracking data from a WPI MAPLE Lab study, showing how fixation duration, response time, and peripheral vision use change across problem-solving sessions. Users can select different y-axis metrics from a dropdown menu, while the scatter plots show participant responses colored by correctness with trend lines. The view filters between two participants using hardcoded values, and hovering over the legend highlights correct versus incorrect responses. The code uses d3.scaleLinear, d3.scaleOrdinal, d3.axisLeft, and d3.axisBottom, with data loaded via d3.csvParse from a remote CSV file.

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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