Yuushi Toyoda, Gale M. Lucas, Jonathan Gratch. Predicting Worker Accuracy from Nonverbal Behaviour: Benefits and Potential for Algorithmic Bias. In Zakia Hammal, Carlos Busso, Catherine Pelachaud, Sharon L. Oviatt, Albert Ali Salah, Guoying Zhao, editors, ICMI '21 Companion: Companion Publication of the 2021 International Conference on Multimodal Interaction, Montreal, QC, Canada, October 18 - 22, 2021. pages 25-30, ACM, 2021. [doi]
@inproceedings{ToyodaLG21,
title = {Predicting Worker Accuracy from Nonverbal Behaviour: Benefits and Potential for Algorithmic Bias},
author = {Yuushi Toyoda and Gale M. Lucas and Jonathan Gratch},
year = {2021},
doi = {10.1145/3461615.3485427},
url = {https://doi.org/10.1145/3461615.3485427},
researchr = {https://researchr.org/publication/ToyodaLG21},
cites = {0},
citedby = {0},
pages = {25-30},
booktitle = {ICMI '21 Companion: Companion Publication of the 2021 International Conference on Multimodal Interaction, Montreal, QC, Canada, October 18 - 22, 2021},
editor = {Zakia Hammal and Carlos Busso and Catherine Pelachaud and Sharon L. Oviatt and Albert Ali Salah and Guoying Zhao},
publisher = {ACM},
isbn = {978-1-4503-8471-1},
}