Natural Emotion Elicitation for Emotion Modeling in Child-Robot Interactions

Weiyi Wang, Georgios Athanasopoulos, Selma Yilmazyildiz, Georgios Patsis, Valentin Enescu, Hichem Sahli, Werner Verhelst, Antoine Hiolle, Matthew Lewis, Lola Canamero

Research output: Chapter in Book/Report/Conference proceedingConference paper

7 Citations (Scopus)

Abstract

Obtaining spontaneous emotional expressions is the very first and vital step in affective computing studies, for both psychologists and computer scientists. However, it is quite challenging to record them in real life, especially when certain modalities are required (e.g. 3D representation of the body). Traditional elicitation and capturing protocols either introduce the awareness of the recording, which may impair the naturalness of the behaviors, or cause too much information loss. In this paper, we present natural emotion elicitation and recording experiments, which were set in child-robot interaction scenarios. Several state-of-the-art technologies were employed to acquire the multi-modal expressive data that will be further used for emotion modeling and recognition studies. The obtained recordings exhibit the expected emotional expressions.
Original languageEnglish
Title of host publicationProceedings of the 4th Workshop on Child Computer Interaction (WOCCI 2014)
Number of pages6
Publication statusPublished - 19 Sep 2014
Event4th Workshop on Child Computer Interaction (WOCCI 2014) - Singapore, Singapore
Duration: 19 Sep 201419 Sep 2014

Conference

Conference4th Workshop on Child Computer Interaction (WOCCI 2014)
Country/TerritorySingapore
CitySingapore
Period19/09/1419/09/14

Keywords

  • child-robot interaction
  • natural emotion elicitation
  • multi-modal recording

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