CSV file: Raw Facial Coding
The "Raw Facial Coding" CSV file allows you to download the facial coding data and contains the following fields:
string participant_id - UUID,
string participant_external_id - UUID,
int participant_age - participant's age given at the end of the study; could be undefined if the participant did not provide this info,
int participant_gender - participant's gender given at the end of the study: 0 - female, 1 - male, 2 - other; could be undefined if the participant did not provide this info,
string participant_display_gender - participant's gender given at the end of the study; could be undefined if the participant did not provide this info,
string participant_tags - tags assigned to a participant (added by the study owner),
int participant_quality_grade - participant's grade from 1 to 6 where:
1 = very low,
2 = low,
3 = average,
4 = good,
5 = very good,
6 = perfect;
int participant_quality_grade_item - item's grade from 1 to 6 where:
1 = very low,
2 = low,
3 = average,
4 = good,
5 = very good,
6 = perfect;
string item_id - UUID,
string test_id - UUID,
timestamp test_created_at - when a participant provided the result,
int test_duration - stimuli view time in ms (it may be shorter than defined in settings sue to image mapping with clicks or keystrokes),
int test_browser_width - participant's screen width in pixels,
int test_browser_height - participant’s screen height in pixels,
int test_item_display_order - a number indicating the order in which the items were displayed,
int exposure_number - (only applicable for Website Mockup studies) indicates the time the participant saw an item, i.e., 1 means that the participant saw this item for the first time,
JSON ARRAY test_facial_coding_raw_data - facecodeInfo[], array of info about emotions as shown below:
int facecodeInfo[0] - timestamp; samples are taken each 30 ms (at 0ms, 30 ms, 60 ms, etc.)
float facecodeInfo[1] - "neutral" emotion in scale from 0 to 1,
float facecodeInfo[2] - "happy" emotion in scale from 0 to 1,
float facecodeinfo[3] - "surprise" emotion in scale from 0 to 1,
float facecodeInfo[4] - k-coefficient value,
test_k_coefficient_mean - k-coefficient mean value.
notes:
RealEye version,
participantQualityGradeItemMin=X - CSV file can be downloaded filtered by the item quality grade, where X is a value from 1 (very low) to 6 (perfect).
timestamp of when the file was downloaded,
string external_data_debug - all the external variables assigned to the participant (if applicable).
See the CSV files for the sample study:
API: https://www.realeye.io/docs/api/#facial-coding-data-export