A Preliminary Exploration of Group Social Engagement Level Recognition in Multiparty Casual Conversation

Sensing human social engagement in dyadic or multiparty conversation is key to the design of decision strategies in conversational dialogue agents to decide suitable strategies in various human machine interaction scenarios. In this paper we report on studies we have carried out on the novel researc...

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Bibliographic Details
Published inSpeech and Computer Vol. 9811; pp. 75 - 83
Main Authors Huang, Yuyun, Gilmartin, Emer, Cowan, Benjamin R., Campbell, Nick
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2016
Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
Acoustic and visual signal processing
Artificial intelligence
Human social behaviours
Social engagement recognition
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ISBN331943957X
9783319439570
ISSN0302-9743
1611-3349
DOI10.1007/978-3-319-43958-7_8

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Summary:Sensing human social engagement in dyadic or multiparty conversation is key to the design of decision strategies in conversational dialogue agents to decide suitable strategies in various human machine interaction scenarios. In this paper we report on studies we have carried out on the novel research topic about social group engagement in non-task oriented (casual) multiparty conversations. Fusion of hand-crafted acoustic and visual cues was used to predict social group engagement levels and was found to achieve higher results than using audio and visual cues separately.
ISBN:331943957X
9783319439570
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-43958-7_8