MEEC

Recognizing human emotions and responding appropriately has the potential to radically change the way we interact with technology. However, to train machines to sensibly detect and recognize human emotions, we need valid emotion ground truths. A fundamental challenge here is the momentary emotion elicitation and capture (MEEC) from individuals continuously and in real-time, without adversely affecting user experience. In this first edition of the one-day CHI 2020 workshop, we will (a) explore and define novel elicitation tasks (b) survey sensing and annotation techniques (c) create a taxonomy of when and where to apply an elicitation method.

Authors:
El Ali Abdallah, Perusquía-Hernández Monica, Denman Pete, Abdelrahman Yomna, Hassib Mariam, Meschtscherjakov Alexander, Ferreira Denzil, Henze Niels

Publication type:

Place of publication:
CHI EA ’20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, April, 2020 Honolulu, HI, USA

Keywords:
Affective Computing, capture, elicitation, emotion, momentary

Published:

Full citation:
Abdallah El Ali, Monica Perusquía-Hernández, Pete Denman, Yomna Abdelrahman, Mariam Hassib, Alexander Meschtscherjakov, Denzil Ferreira, and Niels Henze. 2020. MEEC: First Workshop on Momentary Emotion Elicitation and Capture. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (CHI EA ’20). Association for Computing Machinery, New York, NY, USA, 1–8. DOI:https://doi.org/10.1145/3334480.3375175

DOI:
https://doi.org/10.1145/3334480.3375175

Read the publication here:
http://urn.fi/urn:nbn:fi-fe2020052538840