Annotating and analyzing emotions in a corpus of first encounters

TY - GEN

T1 - Annotating and analyzing emotions in a corpus of first encounters

AU - Navarretta, Costanza

N1 - Conference code: 3

PY - 2012

Y1 - 2012

N2 - The paper is about the annotation and analysis of emotions and attitudes in a Danish corpus of first encounters. Emotions are classified using an open-ended list of values following the MUMIN annotation scheme and bipolar values in three emotional dimensions: Pleasure (P), Arousal (A) and Dominance (D), PAD) as proposed by Kipp and Martin [1]. The strategy of combining a coarse grained dimensional annotation with a fine grained list of emotions helped the coders to reach a common understanding of the semantics of the emotion labels. It also contributed to a significant improvement of the inter-coder agreement. A first analysis of the emotions annotated in six first encounters indicates that there is a tight relation between type of emotions and the social activity. Furthermore, some emotion types are related to specific communicative functions, such as feedback and turn management in these data. These findings can be useful for modeling plausible emotional devices.

AB - The paper is about the annotation and analysis of emotions and attitudes in a Danish corpus of first encounters. Emotions are classified using an open-ended list of values following the MUMIN annotation scheme and bipolar values in three emotional dimensions: Pleasure (P), Arousal (A) and Dominance (D), PAD) as proposed by Kipp and Martin [1]. The strategy of combining a coarse grained dimensional annotation with a fine grained list of emotions helped the coders to reach a common understanding of the semantics of the emotion labels. It also contributed to a significant improvement of the inter-coder agreement. A first analysis of the emotions annotated in six first encounters indicates that there is a tight relation between type of emotions and the social activity. Furthermore, some emotion types are related to specific communicative functions, such as feedback and turn management in these data. These findings can be useful for modeling plausible emotional devices.

U2 - 10.1109/coginfocom.2012.6422020

DO - 10.1109/coginfocom.2012.6422020

M3 - Article in proceedings

SN - 978-1-4673-5187-4

SP - 433

EP - 438

BT - IEEE 3rd International Conference on Cognitive Infocommunications (CogInfoCom), 2012

PB - IEEE Signal Processing Society

T2 - IEEE 3rd International Conference on Cognitive Infocommunications

Y2 - 2 December 2012 through 5 December 2012

ER -