Name
Abstract | ||
|---|---|---|
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.
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Year | DOI | Venue |
|---|---|---|
2020 | 10.1145/3334480.3375175 | CHI '20: CHI Conference on Human Factors in Computing Systems
Honolulu
HI
USA
April, 2020 |
Keywords | DocType | ISBN |
emotion, affective computing, elicitation, capture, momentary | Conference | 978-1-4503-6819-3 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Abdallah El Ali | 1 | 78 | 17.55 |
| Monica Perusquía-Hernández | 2 | 3 | 3.10 |
| Pete Denman | 3 | 0 | 0.34 |
| Yomna Abdelrahman | 4 | 72 | 16.86 |
| Mariam Hassib | 5 | 91 | 12.33 |
| Alexander Meschtscherjakov | 6 | 379 | 60.06 |
| Denzil Ferreira | 7 | 768 | 49.89 |
| Niels Henze | 8 | 1262 | 108.47 |