On the Expressivity of a Parametric Humanoid Emotion Model

Pooja Prajod, Koen Hindriks

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Emotion expression is an important part of human-robot interaction. Previous studies typically focused on a small set of emotions and a single channel to express them. We developed an emotion expression model that modulates motion, poses and LED features parametrically, using valence and arousal values. This model does not interrupt the task or gesture being performed and hence can be used in combination with functional behavioural expressions. Even though our model is relatively simple, it is just as capable of expressing emotions as other more complicated models that have been proposed in the literature. We systematically explored the expressivity of our model and found that a parametric model using 5 key motion and pose features can be used to effectively express emotions in the two quadrants where valence and arousal have the same sign. As paradigmatic examples, we tested for happy, excited, sad and tired. By adding a second channel (eye LEDs), the model is also able to express high arousal (anger) and low arousal (relaxed) emotions in the two other quadrants. Our work supports other findings that it remains hard to express moderate arousal emotions in these quadrants for both negative (fear) and positive (content) valence.

Original languageEnglish
Title of host publication2020 29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages926-931
Number of pages6
ISBN (Electronic)9781728160757
DOIs
Publication statusPublished - 14 Oct 2020
Event29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020 - Virtual, Naples, Italy
Duration: 31 Aug 20204 Sep 2020

Conference

Conference29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020
CountryItaly
CityVirtual, Naples
Period31/08/204/09/20

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