Multimodal Analysis of Cohesion in Multi-party Interactions

Reshmashree Bangalore Kantharaju, Caroline Langlet, Mukesh Barange, Chloé Clavel, Catherine Pelachaud


Abstract
Group cohesion is an emergent phenomenon that describes the tendency of the group members’ shared commitment to group tasks and the interpersonal attraction among them. This paper presents a multimodal analysis of group cohesion using a corpus of multi-party interactions. We utilize 16 two-minute segments annotated with cohesion from the AMI corpus. We define three layers of modalities: non-verbal social cues, dialogue acts and interruptions. The initial analysis is performed at the individual level and later, we combine the different modalities to observe their impact on perceived level of cohesion. Results indicate that occurrence of laughter and interruption are higher in high cohesive segments. We also observe that, dialogue acts and head nods did not have an impact on the level of cohesion by itself. However, when combined there was an impact on the perceived level of cohesion. Overall, the analysis shows that multimodal cues are crucial for accurate analysis of group cohesion.
Anthology ID:
2020.lrec-1.63
Volume:
Proceedings of the 12th Language Resources and Evaluation Conference
Month:
May
Year:
2020
Address:
Marseille, France
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
498–507
Language:
English
URL:
https://aclanthology.org/2020.lrec-1.63
DOI:
Bibkey:
Cite (ACL):
Reshmashree Bangalore Kantharaju, Caroline Langlet, Mukesh Barange, Chloé Clavel, and Catherine Pelachaud. 2020. Multimodal Analysis of Cohesion in Multi-party Interactions. In Proceedings of the 12th Language Resources and Evaluation Conference, pages 498–507, Marseille, France. European Language Resources Association.
Cite (Informal):
Multimodal Analysis of Cohesion in Multi-party Interactions (Bangalore Kantharaju et al., LREC 2020)
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PDF:
https://aclanthology.org/2020.lrec-1.63.pdf