@InProceedings{VictorPonce2016,
author="Victor Ponce
and Baiyu Chen
and Marc Oliu
and Ciprian Corneanu
and Albert Clapes
and Isabelle Guyon
and Xavier Baro
and Hugo Jair Escalante
and Sergio Escalera",
title="ChaLearn LAP 2016: First Round Challenge on First Impressions -- Dataset and Results",
booktitle="14th European Conference on Computer Vision Workshops",
year="2016",
optkeywords="Behavior Analysis",
optkeywords="Personality Traits",
optkeywords="First Impressions",
abstract="This  paper  summarizes  the  ChaLearn  Looking  at  People 2016 First Impressions challenge data and results obtained by the teams in the  rst round of the competition. The goal of the competition was to automatically evaluate  ve {\backslash}apparent{\textquoteleft}{\textquoteleft} personality traits (the so-called {\backslash}Big Five{\textquoteright}{\textquoteright}) from videos of subjects speaking in front of a camera, by using human judgment. In this edition of the ChaLearn challenge, a novel data set consisting of 10,000 shorts clips from YouTube videos has been made publicly available. The ground truth for personality traits was obtained from workers of Amazon Mechanical Turk (AMT). To alleviate calibration problems between workers, we used pairwise comparisons between videos, and variable levels were reconstructed by  tting a Bradley-Terry-Luce model with maximum likelihood. The CodaLab open sourceplatform was used for submission of predictions and scoring. The competition attracted, over a period of 2 months, 84 participants who are grouped in several teams. Nine teams entered the  nal phase. Despite the diculty of the task, the teams made great advances in this round of the challenge.",
optnote="HuPBA;MV; 600.063",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=2828), last updated on Thu, 27 Apr 2023 13:19:54 +0200",
file=":http://refbase.cvc.uab.es/files/PCP2016.pdf:PDF"
}