Prevention of cheating through auto proctoring

How Auto-proctoring Prevents Cheating in Online Recruitment

Online recruitment has gained tremendous importance since the onset of Covid pandemic. The platform which was used by only few organizations is now an integral part of recruitment process of innumerable organizations from small to large. Amid the accelerating trend, online recruitment has also raised concerns about test comprises like cheating and fraud by candidates. Doubtlessly, organizations have resorted to auto proctoring to prevent cheating in online recruitment.

Proctoring is one of the age-old practices in the world, at least since the concept of test and assessments came into practice. In fact, the etymology of the word, ‘proctor’ dates back to late 14th century. It meant a person or an individual who looked after the affairs of someone like a spokesman or an advocate. The present dictionary meaning of proctoring refers to watch people in an examination in order to avoid them from cheating.

Like you read in the beginning, the dawn of online recruitment has provided unique set of challenges to proctors. From cheating to impersonation, candidates are resorting to innumerable dishonest practices during assessment. Not everyone does cheat, but those who do, do it well!

To make matters worse, a majority of these acts go uncaught in online recruiting assessments. For example, between the end of 2020 to the first half of 2021, Glider Talent Intelligence tracked a 92 percent increase in fraudulent test tracking activities. Further, the AI-enabled proctoring features also reported 23 percent of the candidates engaged in some assessment malpractice.

Technologies advances in proctoring procedures have proved to curb cheating practices to a large extent. On the forefront, the emergence of auto proctoring within the online recruitment and assessment processes has enhanced user experience for both recruiters and candidates. Additionally, as a part of defending assessment security, it has also extensively prevented cheating practices.

Many researchers and academicians have found a positive relationship between technology and behavior intention. In other words, higher usefulness of technology has led to higher adaptations in one’s behavior. Likewise, auto proctoring has a huge impact in monitoring the candidate’s behavior during online recruitment.

In its simplest sense, auto proctoring can be defined as an AI-powered assessment technology that completely monitor candidates on one-to-one and one-to-many basis, their multimedia and their environment during online assessments or examinations. The e-assessment method has gained tremendous acceptance in the recent times of global pandemic where everything was done on a remote and online platform.

Compared to online human proctoring, auto proctoring needs very less human intervention. The algorithms are designed to mimic the behavior of a human proctor in order to prevent the likelihood of cheating in assessments. Further, a candidate can take up the assessment anywhere and anytime as long as there is a strong internet connection.

Components of Auto Proctoring

Auto proctoring includes components extracted from various domains like technology, AI, human behavior, NLP, and academics among others. According to a research paper on automated online exam proctoring, the basic components of auto proctoring system for detecting real-time cheating behavior are:

  • Text detection: Books, notes, images.
  • Speech detection: Phone call and other audio
  • Gaze estimation: Pose alignment and angle variations.
  • Phone detection: Screen recording
  • User verification: Facial features, Image captured at different phases
  • Active window detection: Screen share, secondary screens

Types of Auto Proctoring

As a part of remote and online recruitment, auto proctoring in a 360-degree approach. Hence, it works in three types:

Video Proctoring: The candidate’s webcam will be used for real-time monitoring and recording the candidate’s identity, test environment, and other activities. Any potential cheating or fraud is detected, and auto-flagged.

Audio Proctoring: Through the microphone, the candidate’s audio feed is scanned, recorded, and monitored with keen attention to additional noise or voice occurring during the assessment. Any sound that doesn’t conform to test guidelines will be auto-flagged.

Image Proctoring: Live images of test candidate is captured at regular intervals. Then they are compared against the base image (taken before the assessment) to verify the genuineness. Any abnormality or other person intruding is auto flagged.

What Marks as Violations in Online Recruitment?

Online recruitment is not just limited to assessments and tests alone. It covers various forms like ATS, cold e-mails, profile data on professional social media like LinkedIn, job portal database, phone screen and video interviewing as well. Now as a promising job candidate, one must take care of the following in order to avoid as violations by auto-proctoring system:

  • Avoid changing test location at any cost
  • Switch on webcam at all times
  • No other person is allowed in the test room/location
  • Avoid secondary noise like music, talks
  • Keep other gadgets away (unless permitted)
  • No impersonations in the form of writing, speech etc
  • Close all other tabs and programs in the laptop
  • Always behave professionally

How Auto proctoring Prevents Cheating in Online Recruitment?

Auto proctoring is redefining test integrity in online recruitment programs. The platform analyses both qualitative and quantitative real-time data to prevent cheating from beginning to end. The artificial intelligence system works through:

Hardware: Webcam and wearcam, microphone capture everything that is happening on an active window screen. The inputs like candidate’s face, body movements, sound, proxy or any other suspicious presence are auto-flagged immediately.

Continuous Monitoring: It assesses the test taker’s surroundings, background, nearby gadgets, and presence of any other person. Frequent monitoring of such elements gives an estimation of candidate’s behavior and test integrity to the proctoring system.

Plagiarism Report: As a powerful anti-plagiarism tool, auto-proctoring verifies a candidate’s coding submissions against similar codes copied from internet or elsewhere. The comprehensive monitoring report provides details and copy-pasted snippets and submits the same for review.

Audit Trail: Auto-proctoring also records the physical, visual and acoustic environment of the candidate’s location. Through this, recruiters can analyze and review candidate’s skills, performance, and suspicious activities (if any).

End Note

Auto proctoring is one technology that organizations do not want to go away. With online recruitment market set to grow by USD 2.99 billion at a CAGR of 6.83 percent between 2021 to 2025, market research company Technavio predicts AI will be a key trend in this regard.

Auto proctoring, empowered by AI is a great tool for managing online recruitment with less human interference, while also delivering multiple benefits at the same time. Apart from reducing cost-per-hire, auto proctoring plays a key role on attracting quality talent and enhancing employer brand value too. It is certainly the best tag for “Do More With Less.”

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