The Impact of Eye Contact During Video Interviews
New research shows that when employees are participating in virtual interviews, eye contact can impact their ratings.
New research shows that when employees are participating in virtual interviews, eye contact can impact their ratings.
This review examines how autonomy-enhancing algorithmic procedures (AEAPs) can improve acceptance of algorithmic decision-making in personnel selection by allowing practitioners to retain a sense of control.
New research finds that machine learning techniques offer a nuanced perspective on personality and job performance.
New research highlights the potential pitfalls of disclosing mental health conditions on LinkedIn.
Research addresses the challenges associated with using artificial intelligence (AI) for personnel selection. It finds that providing clear explanations may improve the trust that people place in these tools.
Harvard Business Review explains how organizations can utilize different interview methods to get what they want out of the job interview process.
New research finds that stereotype threat and lift may not play a pivotal role in real-world, high-stakes contexts.
Researchers create a new measure of risk propensity that shows promise for reducing accidents and improving workplace safety.
New research suggests that applicants may dislike when algorithms are used to evaluate video interviews, leading to a potential decrease in the applicant pool.
New research finds that political affiliation can influence the employee selection process, and the practice of doxing offers new insights into how.