On the whole, humans are generally good at identifying emotions, but this mostly happens at an unconscious level and it isn’t always a reliable tool, particularly when it may involve having to make decisions based on this interpretation. According to psychology professor, Lisa Feldman Barrett our emotions are the brain’s method of understanding the body’s raw data. But sometimes the same sensations can be interpreted differently depending on external events. For example, a queasy stomach could be interpreted as nervousness before a job interview or excitement for an upcoming holiday.
We are reactive to the world around us. For example, if a HR professional has a disagreement with a colleague or is experiencing personal issues outside the workplace, they may bring these negative emotions into interviewing a candidate for a job. This may affect our perception of a candidate and the hiring decision.
Although we can’t change these factors, we can prevent them from influencing the recruitment process to ensure it is fair, consistent and transparent. As we enter the fourth industrial revolution and are increasingly driven by new technology, AI and Computer Vision will be on hand to assist humans in making data-led decisions that are consistently accurate and free of bias; attributes which will become increasingly important in a fast moving and compliant world.
What is Computer Vision and AI?
Computer Vision acts as the eyes of an AI. This technology can visually process the world around them and they can be programmed to analyse the information it collects. For example, Computer Vision is used as part of our video analysis tool. The technology analyses each candidate’s facial expressions and micro-expressions from their video interview. Micro-expressions are facial movements that happen – even before we are consciously aware of making them. This means Computer Vision is able to detect a candidate’s true emotion at that moment, not what they may like to present to an interview panel.
This tool can be used to recruit across all industries. However, it is especially useful in customer focused or sales roles where ‘reading people’ or presenting yourself positively or empathetically is required. Computer Vision can observe how easy a person is to talk to, and how approachable they will be to customers – even under pressure.
Why should we trust machines to assess human behaviour?
Together, AI and Computer Vision are able to accurately repeat the same process over and over again. Our video analysis tool has analysed over 1.4 billion facial expressions with a 97% accuracy rate. This is an invaluable tool for humans and can be used to gain advantage particularly in dealing with scale or distance. Computer Vision doesn’t experience a post-lunchtime dip, which is when a person feels drowsy for a few hours whilst their body digests their food. Equally the AI doesn’t have a ‘bad day’ through fatigue which would impair their overall cognitive performance. It can process thousands of job applications and identify the top candidates, regardless of what time of day it is. This enables a recruiter to stay focused on putting their attention and expertise on the applicants that have relevant skills and abilities for the role.
As AI and Computer Vision aren’t human, they have the capacity to be completely objective (read our blog on unconscious bias in humans here). Our Chief Scientific Officer, Dr Boris Altemeyer, revealed to Information Age that “AI doesn’t have to understand its own unconscious bias, because it has none. AI does not need diversity and inclusion training. It’s incapable of taking an instant dislike to someone, secretly wondering whether someone’s planning on starting a family, or hiring someone who’s pleasingly similar to them.” As there isn’t any human involvement in the analysis process it supports a less bias hiring decision. Our Computer Vision isn’t programmed to see race, age or gender – it is purely assessing what an applicant is non-verbally communicating. This becomes a vital tool when companies are pursuing policies of inclusion, diversity and fairness.
Making fast and accurate hiring decisions for every candidate – every time
Our clients using our video analysis tool will be able to give each applicant a fair chance, regardless of how large their applicant pool is.
Each candidate records themselves answering a number of key questions that have been set by the company. Computer Vision analyses each video interview frame by frame, searching for positivity and expressiveness, both of which are measures of genuine passion. The tool is a hundred times faster and accurate than any human assessment. As a result, a business is able to identify top talent from their entire applicant pool.
Working with Computer Vision supports hiring decisions, HR professionals are able to draw conclusions from their own expertise when finally ‘meeting’ each candidate, but also review the Computer Vision comprehensive analysis on them alongside the other Cognisess assessments that analyse Job Fit, Culture Fit and Team Fit.
Recently, we have studied the performance of the video analysis tool with our client, AB InBev – the world’s leading brewer. Focusing on the candidates who had successfully passed their video interview stage, we uncovered a statistically significant relationship between an internal assessor’s high rating of a candidate and a good positivity and expressiveness score. This further shows how accurate this technology can be and how it can be applied to create a fair and transparent recruitment process were any areas of unconscious bias can be corrected as a helpful correction mechanism to support HR professionals avoid bias.
Make every day a good decision day with AI
Everyone of us within a workforce will have good and bad days, it is an inherent part of being human, after all. But in this new age of technology, AI and Computer Vision will ensure those occasion bad days doesn’t turn into bad hiring and bad decision days. If you would like to find out more about how our video analysis tool or Computer Vision can transform your recruitment process, book a FREE demo today with our expert team.