TY - CHAP
T1 - Making Sense of Emotion-Sensing
T2 - 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2021 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2021
AU - Tag, Benjamin
AU - Webber, Sarah
AU - Wadley, Greg
AU - Bartlett, Vanessa
AU - Goncalves, Jorge
AU - Koval, Peter
AU - Slovak, Petr
AU - Smith, Wally
AU - Hollenstein, Tom
AU - Cox, Anna L.
AU - Kostakos, Vassilis
N1 - Funding Information:
This work is partially funded by the Australian Research Council Discovery Project, ARC-DP190102627.
Publisher Copyright:
© 2021 ACM.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/9/21
Y1 - 2021/9/21
N2 - The global pandemic and the uncertainty if and when life will return to normality have motivated a series of studies on human mental health. This research has elicited evidence for increasing numbers of anxiety, depression, and overall impaired mental well-being. But, the global COVID-19 pandemic has also created new opportunities for research into quantifying human emotions: remotely, contactless, in everyday life. The ubiquitous computing community has long been at the forefront of developing, testing, and building user-facing systems that aim at quantifying human emotion. However, rather than aiming at more accurate sensing algorithms, it is time to critically evaluate whether it is actually possible and in what ways it could be beneficial for technologies to be able to detect user emotions. In this workshop, we bring together experts from the fields of Ubiquitous Computing, Human-Computer Interaction, and Psychology to-long-overdue-merge their expertise and ask the fundamental questions: how do we make sense of emotion-sensing, can and should we quantify human emotions?
AB - The global pandemic and the uncertainty if and when life will return to normality have motivated a series of studies on human mental health. This research has elicited evidence for increasing numbers of anxiety, depression, and overall impaired mental well-being. But, the global COVID-19 pandemic has also created new opportunities for research into quantifying human emotions: remotely, contactless, in everyday life. The ubiquitous computing community has long been at the forefront of developing, testing, and building user-facing systems that aim at quantifying human emotion. However, rather than aiming at more accurate sensing algorithms, it is time to critically evaluate whether it is actually possible and in what ways it could be beneficial for technologies to be able to detect user emotions. In this workshop, we bring together experts from the fields of Ubiquitous Computing, Human-Computer Interaction, and Psychology to-long-overdue-merge their expertise and ask the fundamental questions: how do we make sense of emotion-sensing, can and should we quantify human emotions?
KW - Emotion Detection
KW - Emotions
KW - Sensing
KW - Ubiquitous Computing
UR - http://www.scopus.com/inward/record.url?scp=85115983025&partnerID=8YFLogxK
U2 - 10.1145/3460418.3479272
DO - 10.1145/3460418.3479272
M3 - Conference paper
AN - SCOPUS:85115983025
T3 - UbiComp/ISWC 2021 - Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers
SP - 226
EP - 229
BT - UbiComp/ISWC 2021 - Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers
PB - Association for Computing Machinery, Inc
Y2 - 21 September 2021 through 25 September 2021
ER -
