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Aggregated Data Export ​

Export statistical metrics (dwell time, fixation counts, durations) in long format CSV for analysis in R, Python, or SPSS.

Purpose ​

Aggregated data export provides:

  • Statistical metrics for each participant-stimulus-AOI combination
  • Long format CSV structure optimized for statistical analysis
  • Multiple metrics in a single export
  • Compatibility with data analysis software

Export Configuration ​

File Settings ​

  • File name - specify output CSV filename (without extension)
  • Participant Group - select which participant group to include in export

Stimulus Selection ​

Choose one or multiple stimuli to include:

  • Select from available stimuli using checkboxes
  • Multiple stimuli will be combined in single CSV
  • Each stimulus contributes separate rows to the dataset

Metrics Selection ​

Choose from five eye-tracking metrics:

Dwell Time ​

Total time spent fixating on each AOI across all fixations.

Time to First Fixation ​

Time until first fixation on each AOI (from stimulus start). Returns -1 if AOI was never fixated.

Average Fixation Duration ​

Mean duration of all fixations on each AOI. Returns -1 if AOI was never fixated.

First Fixation Duration ​

Duration of the very first fixation on each AOI. Returns -1 if AOI was never fixated.

Fixation Count ​

Total number of separate fixations on each AOI.

CSV Format ​

Structure ​

Long format CSV with columns:

  • Participant_ID - numeric participant identifier
  • Participant_Name - displayed participant name
  • Stimulus - stimulus name
  • AOI_Group - AOI name or special group
  • Metric - metric type (e.g., "Dwell_Time")
  • Value - calculated metric value

Special AOI Groups ​

  • No_AOI - fixations outside any defined AOI
  • Any_Fixation - aggregated values across all fixations

Example Data ​

Participant_ID,Participant_Name,Stimulus,AOI_Group,Metric,Value
1,"P01","Image1","Logo","Dwell_Time",1250.5
1,"P01","Image1","Logo","Fixation_Count",3
1,"P01","Image1","No_AOI","Dwell_Time",450.2

Export Process ​

  1. Configure export settings (filename, group)
  2. Select stimuli to include
  3. Choose metrics to calculate
  4. Click Export CSV to download file
  5. Success message shows exported data points count

Statistical Analysis Usage ​

This format is optimized for:

  • R - use read.csv() and reshape/analyze with tidyverse
  • Python - import with pandas for statistical modeling
  • SPSS - direct import for ANOVA and regression analysis
  • Custom scripts - standard CSV format for any analysis tool

Analysis Tip

The long format structure makes it easy to perform grouped analyses, create visualizations, and run mixed-effects models with participant and stimulus as factors.