TY  - JOUR
AU  - Hugo Jair Escalante
AU  - Heysem Kaya
AU  - Albert Ali Salah
AU  - Sergio Escalera
AU  - Yagmur Gucluturk
AU  - Umut Guçlu
AU  - Xavier Baro
AU  - Isabelle Guyon
AU  - Julio C. S. Jacques Junior
AU  - Meysam Madadi
AU  - Stephane Ayache
AU  - Evelyne Viegas
AU  - Furkan Gurpinar
AU  - Achmadnoer Sukma Wicaksana
AU  - Cynthia Liem
AU  - Marcel A. J. Van Gerven
AU  - Rob Van Lier
PY  - 2022//
TI  - Modeling, Recognizing, and Explaining Apparent Personality from Videos
T2  - TAC
JO  - IEEE Transactions on Affective Computing
SP  - 894
EP  - 911
VL  - 13
IS  - 2
N2  - 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.
UR  - https://ieeexplore.ieee.org/abstract/document/8999746
L1  - http://refbase.cvc.uab.es/files/EKS2020.pdf
UR  - http://dx.doi.org/10.1109/TAFFC.2020.2973984
N1  - HuPBA; no menciona
ID  - Hugo Jair Escalante2022
ER  -