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: