Making Sense of Emotion-Sensing: Workshop on Quantifying Human Emotions

Tag, B.; Webber, S.; Wadley, G.; Bartlett, V.; Goncalves, J.; Koval, P.; Slovak, P.; Smith, W.; Hollenstein, T.; Cox, A. L.; Kostakos, V.

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? © 2021 ACM.