First impression bias1/8/2024 ![]() The findings of this study are relevant for the computer vision community that is still creating new datasets on subjective tasks, and using them for practical applications, ignoring these perceptual biases. First impressions can have a lasting impact on the interviewer and may significantly influence the remainder of the interaction and even the hiring decision, so it is. We further show that the mechanism used to convert pairwise annotations to continuous values may magnify the biases if no special treatment is considered. First impression bias This type of bias can occur when the interviewer notices a candidate's appearance, behaviour or presentation, sometimes even before the interview begins. We show how person perception bias can influence data labelling of a subjective task, which has received little attention from the computer vision and machine learning communities by now. ![]() We analyse for the first time the original pairwise annotations, and reveal existing person perception biases associated to perceived attributes like gender, ethnicity, age and face attractiveness. This type of bias can occur when the interviewer notices a candidates appearance, behaviour or presentation, sometimes even before the interview begins. ![]() Jacques Junior and 3 other authors Download PDF Abstract:This work revisits the ChaLearn First Impressions database, annotated for personality perception using pairwise comparisons via crowdsourcing. First impression bias is when the first perception of a candidate creates a strong impression on the interviewer. Download a PDF of the paper titled Person Perception Biases Exposed: Revisiting the First Impressions Dataset, by Julio C. Behavioral scientists call it the first impression bias: a limitation in human information processing that causes us to make quick and incomplete observations about others based on the first piece of information we perceive. ![]()
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