imocha's AI-powered proctoring analysis helps you intelligently filter candidates who have violated the proctoring limits without opening each report.
Going through each candidate's report and checking the proctoring metrics is time-consuming. To resolve this we have introduced AI-powered proctoring analysis. This will help you quickly identify candidates who have gone beyond the permissible limits and filter them out. This is applicable for both Window Violation and Image Proctoring.
While window violation is enabled by default, you as a test administrator can modify the settings as per your requirements. So the flag will be raised as per the time duration mentioned. For e.g. if a candidate was outside the test window up to 10 second for 4 or 5 times, it will still be under tolerable limit and will get the green flag. For the test to terminate, the candidate must be outside the test window for above 1 minute for 3 time during the test.
Image proctoring can be enabled at the invitation level, however the settings can be controlled from here. As shown in the image, the proctoring flags will be green if there are 0-2 consecutive image violations. For the test to be terminated, the candidate has to indulge in 5+ consecutive image violations.
How will this look in the proctoring snapshot?
After test completion, the proctoring analysis can be seen under the reports itself.
In the above example you can see that the candidate has got a red flag for image violation while other parameters are within permissible limit. Similarly, you can see all the proctoring details for all the candidates without opening the entire report. In addition, you can also use the performance filters to filter out candidates who have violations above the permissible limit.
In case of any queries, write to us at firstname.lastname@example.org