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Improve the Virtual Hiring Process Using Facial Expression Detection

This is where facial recognition technology comes into play. MorphCast, the company behind MorphCast Studio, one of the best interactive video platforms, offers a JavaScript face API that can be integrated in your browser to analyze the facial expressions of the candidates you are interviewing.

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Improve the Virtual Hiring Process Using Facial Expression Detection

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  1. As more companies embrace working from home, many functions are being moved to the virtual space. One of these functions is recruitment. Many recruiting managers are finding that they have to conduct interviews online. These managers are tasked with identifying the best talent for the roles they are recruiting for without ever meeting the candidates in person. Sounds easy? Not really. Recruiting is about much more than evaluating the verbal responses provided by the candidate. Candidates can say what they want recruiting managers to hear in order to secure a job. There are non-verbal cues that recruiting manager’s pick up on when carrying out in-person interviews. These cues tell managers whether the candidate really means what they are saying. It is difficult to pick up on these cues during a virtual interview. This is where facial recognition technology comes into play. MorphCast, the company behind MorphCast Studio, one of the best interactive video platforms,offers a JavaScript face API that can be integrated in your browser to analyze the facial expressions of the candidates you are interviewing. How Facial Recognition Is Improving the Virtual Recruiting Process Many companies are using facial expression recognition technology during the hiring process to evaluate the personalities of candidates that apply for jobs. Companies such as IBM ad Unilever apply facial recognition technology to ensure that they hire the right personality for the job. This is possible by subjecting candidates to preset questions. The facial expression recognition software analyzes the facial expressions of the candidates for each question. This helps recruiters to determine the candidates’ reactions to various questions and determine whose personality is best suited for the role. They can tell whether a person is anxious, relaxed, stressed or nervous. Facial expression recognition software is also beneficial for determining if candidates are being honest. Candidates often tailor their resumes and online applications to suit the requirements of the job they

  2. are applying to. Many will include information they think recruiters want to hear. Some may even lie on their applications. While candidates may lie even during job interviews, their facial expressions won’t. Facial expression recognition software can help interviewers pick up on even those subtle changes in facial expression to determine whether the interviewee is being honest or not. With the application of this technology, interviewers don’t have to make decisions on which candidates pass and which ones fail right away. They can review the information gathered during the interview on their own schedule and determine which candidates will proceed. The technology therefore takes out a lot of guess work and helps recruiters interview multiple candidates without bias as they can make the final decision later. Facial recognition software helps to save a lot of time in recruiting while improving the process. Recruiters can ensure they identify the best candidates even without meeting them face to face. If you’re company is using virtual interviews to identify talent, consider incorporating facial expression recognition to improve the outcome of your recruiting process and identify the best people to fill the roles. For More information: - https://www.morphcast.com/

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