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

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

Electronics and Informatics

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Proceedings of the 4th Workshop on Child Computer Interaction (WOCCI 2014)
Number of pages	6
Publication status	Published - 19 Sept 2014
Event	4th Workshop on Child Computer Interaction (WOCCI 2014) - Singapore, Singapore Duration: 19 Sept 2014 → 19 Sept 2014

Conference

Conference	4th Workshop on Child Computer Interaction (WOCCI 2014)
Country/Territory	Singapore
City	Singapore
Period	19/09/14 → 19/09/14

Keywords

child-robot interaction
natural emotion elicitation
multi-modal recording

Handle.net

Persistent link

OZR2709: International Joint Research Group - Joint Laboratory on Audio Visual Signal Processing
Sahli, H. (Administrative Promotor) & Zhang, Y. (Co-Promotor)
3/12/14 → 2/12/20
Project: Fundamental
IRP5: Objectifying Assessment of Human Emotional Processing and Expression of Clinical and Psychotherapy Applications (EMO-App)
Sahli, H. (Administrative Promotor), Vandekerckhove, M. (Co-Promotor) & Kerckhofs, E. (Co-Promotor)
1/04/13 → 31/03/18
Project: Fundamental
SRP11: Strategic Research Programme: Processing of large scale multi-dimensional, multi-spectral, multi-sensorial and distributed data (M³D²)
Schelkens, P. (Administrative Promotor), Deligiannis, N. (Co-Promotor), Jansen, B. (Co-Promotor), Kuijk, M. (Co-Promotor), Munteanu, A. (Co-Promotor), Sahli, H. (Co-Promotor), Steenhaut, K. (Co-Promotor), Stiens, J. (Co-Promotor), Schelkens, P. (Administrative Promotor), Cornelis, J. P. (Co-Promotor), Kuijk, M. (Co-Promotor), Munteanu, A. (Co-Promotor), Sahli, H. (Co-Promotor), Stiens, J. (Co-Promotor) & Vounckx, R. (Co-Promotor)
1/11/12 → 31/12/23
Project: Fundamental

Cite this

@inproceedings{cd4a31de3431476db676345a68eb019f,

title = "Natural Emotion Elicitation for Emotion Modeling in Child-Robot Interactions",

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.",

keywords = "child-robot interaction, natural emotion elicitation, multi-modal recording",

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

year = "2014",

month = sep,

day = "19",

language = "English",

booktitle = "Proceedings of the 4th Workshop on Child Computer Interaction (WOCCI 2014)",

note = "4th Workshop on Child Computer Interaction (WOCCI 2014) ; Conference date: 19-09-2014 Through 19-09-2014",

}

Wang, W, Athanasopoulos, G, Yilmazyildiz, S, Patsis, G, Enescu, V, Sahli, H , Verhelst, W, Hiolle, A, Lewis, M & Canamero, L 2014, Natural Emotion Elicitation for Emotion Modeling in Child-Robot Interactions. in Proceedings of the 4th Workshop on Child Computer Interaction (WOCCI 2014). 4th Workshop on Child Computer Interaction (WOCCI 2014), Singapore, Singapore, 19/09/14.

TY - GEN

T1 - Natural Emotion Elicitation for Emotion Modeling in Child-Robot Interactions

AU - Wang, Weiyi

AU - Athanasopoulos, Georgios

AU - Yilmazyildiz, Selma

AU - Patsis, Georgios

AU - Enescu, Valentin

AU - Sahli, Hichem

AU - Verhelst, Werner

AU - Hiolle, Antoine

AU - Lewis, Matthew

AU - Canamero, Lola

PY - 2014/9/19

Y1 - 2014/9/19

N2 - 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.

AB - 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.

KW - child-robot interaction

KW - natural emotion elicitation

KW - multi-modal recording

M3 - Conference paper

BT - Proceedings of the 4th Workshop on Child Computer Interaction (WOCCI 2014)

T2 - 4th Workshop on Child Computer Interaction (WOCCI 2014)

Y2 - 19 September 2014 through 19 September 2014

ER -

Natural Emotion Elicitation for Emotion Modeling in Child-Robot Interactions

Abstract

Conference

Keywords

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Projects

OZR2709: International Joint Research Group - Joint Laboratory on Audio Visual Signal Processing

IRP5: Objectifying Assessment of Human Emotional Processing and Expression of Clinical and Psychotherapy Applications (EMO-App)

SRP11: Strategic Research Programme: Processing of large scale multi-dimensional, multi-spectral, multi-sensorial and distributed data (M³D²)

Cite this