Paper Info
Title
Detection of division of labor in multiparty collaboration
Abstract
In the research field of human-computer interaction, there are many approaches to predicting interactive roles, e.g., conversational dominance or active participation. Although interactive roles have been predicted for entire tasks, little attention has been given to evaluating how such roles are reorganized during a task. This paper explains how to construct a model for predicting emergent division of labor and the reorganization of labor in multiparty collaboration using verbal and nonverbal cues. To build the model, we adopted stepwise multiple-regression analysis, which is a type of statistical model analysis, using both behavioral data and third-party evaluations. We confirmed useful verbal and non-verbal parameters for predicting interactive roles and their reorganization through this model.
Year
DOI
Venue
2013
10.1007/978-3-642-39226-9_40
HCI (15)
Keywords
Field
DocType
behavioral data,statistical model analysis,conversational dominance,active participation,multiparty collaboration,emergent division,stepwise multiple-regression analysis,human-computer interaction,entire task,interactive role
Computer science,Cognitive psychology,Nonverbal communication,Behavioral data,Artificial intelligence,Statistical model,Division of labour
Conference
Citations 
PageRank 
References 
0
0.34
7
Authors
7
Name
Order
Citations
PageRank
Noriko Suzuki1388.75
Tosirou Kamiya221.66
Ichiro Umata34814.01
Sadanori Ito4417.26
Shoichiro Iwasawa57417.41
Mamiko Sakata6139.29
Katsunori Shimohara7327106.53