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Basic info
At least KRW is recommended based on minimum wage.
Minimum wage basis (₩10,320/hour) Enter the time required to calculate the minimum reward.
At or above minimum wage is recommended for IRB research.
Enter 1–50 days; leave blank for unlimited. Non-submission by the deadline is cancelled automatically.
Submissions under this time are flagged in the applicant list.
Show this code on the final screen of your external experiment. When a participant enters the same code on submission, it completes and pays out immediately without manual approval. Leave blank to review manually. (Case-insensitive)
Application approval mode
Automatic approval
Approved instantly when eligible
Manual approval
You review and approve each one
IRB ethics review info
Written consent form content
This is the content shown in the "Please check before participating" notice and the written consent form on the study detail page. You can keep editing it after the study is registered.
Principal investigator
Shown to participants before they consent to apply.
Poster image
Selecting a new file replaces the current poster. PNG·JPG·GIF·WEBP / max 5MB
Sample criteria
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Participants are shown, and you receive, only the items selected here plus the items you set conditions on above (Article 17, Personal Information Protection Act — only disclosed items are provided).
Select items you need for descriptive statistics (e.g. age group, gender) even if you did not set conditions on them. Unselected items are not included in your result data.
Vision, hearing, and color-vision information are sensitive-boundary items and are provided only when you set conditions on them.

Applicants answer these immediately when they click the apply button. If the answers don't meet the qualifying condition, the application is blocked. Changes don't apply retroactively to participants who already applied.

Participants meeting this threshold are recruited with priority. Not applied to those with fewer than 5 submissions.

Only participants with at least this many completed studies on the platform can apply.

These filters exist to ensure data quality and do not restrict participants' rights.
Responsibility for study design and participation criteria rests with the researcher.
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