Web: http://arxiv.org/abs/2208.00344

Sept. 20, 2022, 1:13 a.m. | Leena Mathur, Ralph Adolphs, Maja J Matarić

cs.CV updates on arXiv.org arxiv.org

In our multicultural world, affect-aware AI systems that support humans need
the ability to perceive affect across variations in emotion expression patterns
across cultures. These systems must perform well in cultural contexts without
annotated affect datasets available for training models. A standard assumption
in affective computing is that affect recognition models trained and used
within the same culture (intracultural) will perform better than models trained
on one culture and used on different cultures (intercultural). We test this
assumption and present …

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