Curve AE
This visualization shows a line chart tracking how average fixation duration changes over the course of an eye-tracking experiment with 86 undergraduate students solving math problems. The chart plots response time against experimental order, with data from the WPI MAPLE Lab study, showing whether fixation patterns vary across participants over time. The code uses D3 v7’s `scaleTime`, `scaleLinear`, and line generator, loading data from a CSV file via `csvParse` and rendering axes with reusable `axisLeft` and `axisBottom` functions from the `d3` module.
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?