In today's competitive and fast-evolving business environment, it is a critical time for
organizations to rethink how to make talent-related decisions in a quantitative manner …

Automated co-located human–human interaction analysis has been addressed by the use of
nonverbal communication as measurable evidence of social and psychological phenomena …

Internet-connected devices, such as smartphones, smartwatches, and laptops, have become
ubiquitous in modern life, reaching ever deeper into our private spheres. Among the sensors …

We introduce the psychometric concepts of bias and fairness in a multimodal machine
learning context assessing individuals' hireability from prerecorded video interviews. We …

We develop an AI and AI-human-based model for salesforce hiring using recordings of
conversational video interviews that involve two-sided, back-and-forth interactions with …

In everyday life, judgments people make about others are based on brief excerpts of
interactions, known as thin slices. Inferences stemming from such minimal information can …

In a rapidly digitizing world, machine learning algorithms are increasingly employed in
scenarios that directly impact humans. This also is seen in job candidate screening. Data …

We present a computational framework for automatically quantifying verbal and nonverbal
behaviors in the context of job interviews. The proposed framework is trained by analyzing …

Purpose Automatic evaluation of job interviews has become an alternative for assessing
interviewees. Therefore, questions arise regarding applicant reactions and behavior when …

This paper introduces UDIVA, a new non-acted dataset of face-to-face dyadic interactions,
where interlocutors perform competitive and collaborative tasks with different behavior …