TY - JOUR
T1 - Modeling, Recognizing, and Explaining Apparent Personality from Videos
AU - Escalante, Hugo Jair
AU - Kaya, Heysem
AU - Ali Salah, Albert
AU - Escalera, Sergio
AU - Güç;lütürk, Yağmur
AU - Güçlü, Umut
AU - Baro, Xavier
AU - Sukma Wicaksana, Achmadnoer
AU - Liem, Cynthia C.S.
AU - More Authors, null
PY - 2020
Y1 - 2020
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.
AB - 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.
KW - Explainable computer vision
KW - First impressions
KW - Personality analysis
KW - Multimodal information
KW - Algorithmic accountability
UR - http://www.scopus.com/inward/record.url?scp=85085992577&partnerID=8YFLogxK
U2 - 10.1109/TAFFC.2020.2973984
DO - 10.1109/TAFFC.2020.2973984
M3 - Article
AN - SCOPUS:85085992577
SP - 1
EP - 18
JO - IEEE Transactions on Affective Computing
JF - IEEE Transactions on Affective Computing
SN - 1949-3045
ER -