Affsens

Denman, Pete; Lewis, Erica; Prasad, Sai; Healey, Jennifer; Syed, Haroon; Nachman, Lama

doi:10.1145/3236112.3236158

Cited by 19 publications

(1 citation statement)

References 4 publications

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“…Capture: How can we capture a wider range of human emotions / feelings / moods, in the moment that they occur? While methods are being developed to collect in situ affect data [9], challenges remain in the range of emotions and moods we can capture [7]. Importantly, which emotions should we capture [11] and how do cross-cultural differences impact this [21]?…”

Section: Meec Challengesmentioning

confidence: 99%

MEEC: First Workshop on Momentary Emotion Elicitation and Capture

Ali

Perusquía-Hernández

Denman

et al. 2020

Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems

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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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Section: Meec Challengesmentioning

confidence: 99%