Capturing Micro-Expressions on Zoom: A Promising Sales Opportunity

Abstract

The subtleties of salesmanship are changing in this virtual world of online communication. This proof-ofconcept study examines the feasibility of capturing customer images at the two, ten, and thirty-second intervals following a Zoom platform's sales query. A captured image underwent a micro-expression analysis employing a computer-driven program that generates an emotional-algorithm analyzing the emotions of happy, neutral, sad, disgust, fear, surprise, and anger. This algorithm enabled researchers to predict a purchase-decision using proprietary artificial intelligence software. Findings suggest that microexpressions captured at the two-second interval exhibited a significant relationship with a customer's purchase decision. A summary table provides a detailed overview of all results using the acronym [MICRO].