Notes: This feature is currently in limited availability. If you or your organization is interested in utilizing the Multiple Monitor Detection feature, please reach out to your customer success manager. Multiple Monitor Detection is available only for Tests that run on Google Chrome 101 and higher.
Detect if an external monitor is connected to the device on which the candidate is taking an assessment. You may want to know if a candidate is using an external monitor to cheat during their assessments. This can be a significant indicator while making a decision on a candidate.
Engaging Multiple Monitor Detection on a Test
From the Test Integrity settings of a test, within the Proctoring area, you’ll see Multiple Monitor Detection.
When engaged, if the candidate is using another browser, they will see a browser recommendation.
Note: HackerRank will not flag the candidate if they proceed; this is a recommendation.
Before a candidate starts the test, they will be prompted to allow HackerRank the ability to manage all of the windows across the monitors a candidate is using. During the login process of the candidate, HackerRank will capture the number of monitors a candidate is using. Then, changes in the number of monitors will be detected.
If a candidate tries to remove the Window management access during their test attempt, they will be shown the following alert message.
Candidates can continue their attempt by resetting the window management settings and refreshing the page.
Monitor Detection log available within test reports
From the Timeline tab of the candidate report, you’ll then be able to view the list of events, such as changes in the number of windows open throughout the duration of the test.
HackerRank is also adding an additional column in the Excel report called ‘Max number of monitors detected,’ which will show the count of monitors that were connected throughout the duration of a candidate attempt.
Multiple monitor detection is designed to be used as an additional indicator of candidate behavior while engaging in a test. It should not be used as the only indicator used to flag candidates for dishonest behaviors. This feature, along with proctoring test settings such as copy-paste tracking, tab proctoring, image proctoring, AI-powered plagiarism detection, and more, can be used to aid the process of reviewing candidates and flagging those engaging in dishonest behavior.