Title
"That's aggravating, very aggravating": is it possible to classify behaviors in couple interactions using automatically derived lexical features?
Abstract
Psychology is often grounded in observational studies of human interaction behavior, and hence on human perception and judgment. There are many practical and theoretical challenges in observational practice. Technology holds the promise of mitigating some of these difficulties by assisting in the evaluation of higher level human behavior. In this work we attempt to address two questions: (1) Does the lexical channel contain the necessary information towards such an evaluation; and if yes (2) Can such information be captured by a noisy automated transcription process. We utilize a large corpus of couple interaction data, collected in the context of a longitudinal study of couple therapy. In the original study, each spouse was manually evaluated with several sessionlevel behavioral codes (e.g., level of acceptance toward other spouse). Our results will show that both of our research questions can be answered positively and encourage future research into such assistive observational technologies.
Year
DOI
Venue
2011
10.1007/978-3-642-24600-5_12
ACII (1)
Keywords
Field
DocType
higher level,lexical feature,human behavior,human interaction behavior,human perception,couple therapy,couple interaction data,assistive observational technology,observational study,observational practice,categorization,bsp,observational studies,psychology
Social psychology,Categorization,Observational study,Longitudinal study,Spouse,Communication,Computer science,Communication channel,Human interaction,Perception
Conference
Volume
ISSN
Citations 
6974
0302-9743
21
PageRank 
References 
Authors
1.18
3
5
Name
Order
Citations
PageRank
Georgiou Panayiotis142855.79
Matthew P. Black219213.67
Adam C. Lammert3928.35
Brian R. Baucom415216.36
Narayanan Shrikanth55558439.23