@Article{HugoJairEscalante2022,
author="Hugo Jair Escalante
and Heysem Kaya
and Albert Ali Salah
and Sergio Escalera
and Yagmur Gucluturk
and Umut Gu{\c{c}}lu
and Xavier Baro
and Isabelle Guyon
and Julio C. S. Jacques Junior
and Meysam Madadi
and Stephane Ayache
and Evelyne Viegas
and Furkan Gurpinar
and Achmadnoer Sukma Wicaksana
and Cynthia Liem
and Marcel A. J. Van Gerven
and Rob Van Lier",
title="Modeling, Recognizing, and Explaining Apparent Personality from Videos",
journal="IEEE Transactions on Affective Computing",
year="2022",
volume="13",
number="2",
pages="894--911",
abstract="Explainability and interpretability are two critical aspects of decision support systems. Despite their importance, it is only recently that researchers are starting to explore these aspects. This paper provides an introduction to explainability and interpretability in the context of apparent personality recognition. To the best of our knowledge, this is the first effort in this direction. We describe a challenge we organized on explainability in first impressions analysis from video. We analyze in detail the newly introduced data set, evaluation protocol, proposed solutions and summarize the results of the challenge. We investigate the issue of bias in detail. Finally, derived from our study, we outline research opportunities that we foresee will be relevant in this area in the near future.",
optnote="HuPBA; no menciona",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=3406), last updated on Tue, 25 Apr 2023 15:32:03 +0200",
doi="10.1109/TAFFC.2020.2973984",
opturl="https://ieeexplore.ieee.org/abstract/document/8999746",
file=":http://refbase.cvc.uab.es/files/EKS2020.pdf:PDF"
}