For a long time, recruiters wasted precious working hours wrestling with piles of resumes and manually sourcing candidates. Technology tackled that to some extent, with algorithms performing administrative tasks from sourcing to screening candidates. However, talent acquisition leaders agree that the most challenging part remains – identifying the ideal candidate from a vast applicant pool. Conventional interview techniques and technological tools are still falling short on this crucial measure.
In a post-pandemic world, the emphasis on remote recruitment has increased. HR and recruitment cells are employing video interviews and digital hiring to connect with candidates. While this has made recruitment viable, it has also reduced the possibility for face-to-face contact and consequently to assess a candidate’s soft skills, which are a key aspect of their performance at work.
Evidently, recruiters need a more sophisticated way of roping the right candidates in. An interviewer’s ability to not effectively interpret the soft skills and personality traits of the applicant can also lead to poor hires.
But how is a hiring manager supposed to spot these traits while expeditiously scanning through profiles? Enter Emotion AI, exit poor hiring decisions.
How Emotion AI is Transforming Recruitment Dynamics
Earlier AI algorithms and deep learning systems had the power to source the right candidates from job portals and recruitment platforms. Now, emotion recognition technologies are taking it to the next level by recognizing how a candidate feels as they sit down for an interview.
Emotion AI tools are capable of detecting and deriving insights from the body language, facial expressions, gestures, and other non-verbal cues of a candidate. An Emotion-AI-backed hiring process can redefine the metrics of how companies assess their workforce and how potential candidates establish their merit. Technologies like facial coding that measure real-time human emotions by picking up on expressions can allow recruiters to capture the mood and evaluate the personality traits of a candidate.
In fact, Emotion AI is already on its way to transform the recruitment landscape in these four key ways.
No More Lies
Retorio, an AI-based recruitment vendor, reports that 68% of talent professionals evaluate soft skills by picking up on non-verbal cues and facial expressions during an interview. So gone are the days when a candidate could fabricate a story to impress the interviewer. Facial coding software can now detect non-verbal cues to determine nervousness, distraction, anger, happiness, excitement, and other emotions if the interviewee lies.
Besides, interviews are time-bound and don’t often give interviewers the chance to pay attention to every detail of the candidate’s behaviour. Since machines don’t have a subconscious bias, switching to Emotion AI solutions for recruitment is a truly effective way for recruiters to analyse soft skills.
No Face to Face Interaction
Earlier, firm handshakes were deemed decisive for candidates during an interview. However, with the prominence of virtual hiring, recruiters don’t have the luxury to base their decision on an in-person interaction. However, with Emotion AI, they do have the opportunity to leverage video interviews and facial coding software for improved hiring decisions.
Several leading brands like LinkedIn, Skype, and Slack are asking job seekers to submit videos for pre-assessment rounds. Why? Because pre-recorded video interviews are a way to improve lengthy hiring processes at scale. Video interviews are paving the way for intelligent recruiting and allowing organisations to employ Emotion AI technologies like facial coding on recorded materials to analyse the overall behaviour of the candidate.
In fact, many innovative vendors like HireVue, Vidcuiter, and ModernHire are enabling companies to detect a candidate’s stress and comfort level through pre-interview assessments, video interview analysis, and personalised hiring solutions.
Diversity in the Workplace
When a resume lands on a recruiter’s desk, the ethnic, cultural, or socioeconomic implications of the applicant’s name and locality often factor into the final hiring decision. Emotion AI tech diminishes the chances of bias with its data-driven approach. Identifying facial cues and other non-verbal behavioural indicators through Emotion AI solutions allow companies to go beyond resumes and evaluate candidate’s confidence, engagement, attentiveness, and other attributes.
You only need to look at companies like Unilever, Dunkin Donuts, IBM, and many others using these tools, to see the results – diverse workforces being built by doing away with prejudices inherent in traditional interview methods.
More Profiles Screened, Less Wastage of Resources
Apart from saving a lot of commuting time, video interviews cut down significant expenses for both recruiters and candidates. Recruiters can interview more candidates, much faster, with fewer hiring resources. Unilever reports that its emotional analytics tech allowed it to reduce 50,000 hours’ worth of hiring time in 2019. Companies can skip the long-drawn-out process of traditionally hiring, conducting personality tests, and going through numerous CVs.
Emotion AI – Humanizing Virtual Hiring
Video interviewing tools make things simpler, faster, and systematic. With Emotion AI in the mix, hiring managers get valuable emotion recognition insights based on an evaluation of the candidate’s facial expressions, body language, and gestures.
Already, Emotion AI tools are allowing organizations to do away with biases in their recruitment processes. Armed with powerful technologies like facial coding, Emotion AI is truly poised to transform recruitment as we know it.