CSV file: AOI overall stats

The "AOI overall stats" CSV contains the same metrics that are included in AOI on the heatmap dashboard. There are the following fields:

• string study_id - UUID,

• string item_id - UUID,

• string item_filename - the name of your file, as it was named while adding to the study,

• string item_cdn_url - URL to the tested item saved on our servers,

• int participant_count - for how many participants the eye-tracking data was collected for this item,

• string aoi_id - UUID,

• string aoi_name - the name that you give to an AOI while saving it,

• JSON ARRAY aoi_item_parts - exact AOI parameters (contains many parts in case of multi AOI), depending on AOI's type has the following structure:
  

  Rectangle:

  { 
      "areaPoints": {
          "topLeft": {
              "xPx": int,
              "yPx": int,
          },
          "bottomRight": {
              "xPx": int,
              "yPx": int,
          },
      },
      "timeRange": {
          "fromMs": int,
          "toMs": int,
      },
      "size": {
          "overallPercents": float,
          "widthPercents": float,
          "heightPercents": float,
      },
  }

  Polygon:

  { 
      "areaPoints": {
          "points": [
              { "x": float, "y": float, },
              { "x": float, "y": float, },
              ...
          ],
      },
      "timeRange": {
          "fromMs": int,
          "toMs": int,
      },
      "size": {
          "overallPercents": float,
      },
  }

  NOTE:

  Main diffrence between structures is area points interpretation. For rectangle AOI points (top-left and bottom-right) are defined in pixels of an item. Polygon area is described by normalized points (from 0 to 1 ) ordered by drawing sequence.

• float aoi_size_overall_percents - expressed as the percentage value relative to the size of the entire image,

• int aoi_time_range_from_ms - the start time from which the values of the AOI were calculated (you can set this time with the orange slider under the heatmap),

• int aoi_time_range_to_ms - the end time to which the values of the AOI were calculated (you can set this time with the orange slider under the heatmap),

• int aoi_fixation_total_count - number of fixations within this area,

• int aoi_fixation_average_ttff_ms - the amount of time that it takes participants (on average) to make the first fixation at this area (in milliseconds),

• int aoi_fixation_average_total_time_spent_ms - the average amount of time that all the participant's fixations lasted in total (in milliseconds),

• int aoi_fixation_average_fixation_duration_ms - the time that the average fixation lasted for (in milliseconds),

• int aoi_fixation_average_first_fixation_duration_ms - the time that the average first fixation lasted for (in milliseconds),

• int aoi_fixation_participant_ratio_percents - how many of all the participants looked at the given area (based on fixations),

• int aoi_gaze_total_count - number of gazes within this area,

• int aoi_gaze_average_time_to_first_gaze_at_ms - the amount of time that it takes participants (on average) to look at this area (in milliseconds),

• int aoi_gaze_average_total_time_spent_ms - the average amount of time that a participant looked at the area based on gazes (in milliseconds),

• int aoi_gaze_total_time_spent_ms - the total amount of time that all participants looked at the area based on gazes (in milliseconds),

• float aoi_gaze_participant_ratio_percents - how many of all the participants looked at the given area (based on gazes),

• int aoi_visit_total_count - AOI visit is detected if there's a fixation within the AOI (or many fixations "one after another"),

• int aoi_revisit_total_count - how many times participants looked back at the AOI (in total),

• float aoi_revisit_average_count - how many times participants looked back at the AOI (on average),

  NOTE:

  If the participant didn't looked at the AOI, then visits = 0, revisits = 0.
  If the participant looked once at the AOI, then visits = 1, revisits = 0.
  If the participant looked N-times at the AOI, then visits = N, revisits = N-1.
  The " average revisits count takes into the account those who have not looked at the AOI (it includes those with 0 visits and revisits).
  We count separate visit if there's a long data gap between fixations.

• int aoi_click_total_count - how many clicks all participants made within this AOI,

• int aoi_click_average_time_to_first_click_ms - the amount of time that it takes participants (on average) to click at this area for the first time,

• float aoi_k_coefficient - the average k-coefficient within this AOI,

• notes - this column contains:

• RealEye version,

• fixation filter settings:

• gazepoint interpolation (Hz) - to improve calculations we interpolate the data to 60 Hz;

• gazepoint interpolation max gap (ms) - we interpolate data if the timestamp gap between two input values is not bigger than this value (50 ms);

• gaze velocity threshold;

• min. fixation duration (Ms);

• max. fixation duration (Ms);

• moving median range (Ms);

• saccade max duration (Ms);

• TestCriteria - data was downloaded for participants:

• age=min:max,

• isGenderMale={true/false},

• isGenderFemale={true/false},

• isGenderOther={true/false},

• isGenderNotSpecified={true/false},

• qualityMin={from1 to 6},

• qualityMax={from 1 to 6},

• tags={tag1},{tag2},...,

• keys=KEY{anykey},

• isParticipantTypeRealEye={true/false},

• isParticipantTypeNonRealEye={true/false},

• timestamp of when the file was downloaded.

See the CSV file for the sample study:

• AOI overall stats

API: https://www.realeye.io/docs/api/#aoi-data-export