MathPerception - map
This map visualizes eye-tracking data from a WPI MAPLE Lab study of 86 undergraduates solving math problems. It displays participant ID, problem order, correctness, and average fixation duration per digit, revealing how attention patterns vary across individuals and tasks. The visualization uses d3.csvParse to load the dataset and renders the raw state data as JSON within a pre element. D3 v7 select and join methods manage the display, updating whenever new data is fetched and processed.
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?