TY  - STD
AU  - Hugo Jair Escalante
AU  - Heysem Kaya
AU  - Albert Ali Salah
AU  - Sergio Escalera
AU  - Yagmur Gucluturk
AU  - Umut Guclu
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 C. S. Liem
AU  - Marcel A. J. van Gerven
AU  - Rob van Lier
PY  - 2018//
TI  - Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos
N2  - Explainability and interpretability are two critical aspects of decision support systems. Within computer vision, they are critical in certain tasks related to human behavior analysis such as in health care applications. 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 computer vision with an emphasis on looking at people tasks. Specifically, we review and study those mechanisms in the context of first impressions analysis. To the best of our knowledge, this is the first effort in this direction. Additionally, we describe a challenge we organized on explainability in first impressions analysis from video. We analyze in detail the newly introduced data set, the evaluation protocol, and summarize the results of the challenge. Finally, derived from our study, we outline research opportunities that we foresee will be decisive in the near future for the development of the explainable computer vision field.
UR  - https://arxiv.org/abs/1802.00745
N1  - HUPBA
ID  - Hugo Jair Escalante2018
ER  -