Panayiotis Georgiou, Matthew P. Black, Adam Lammert, Brian Baucom, and Shrikanth S. Narayanan. That's aggravating, very aggravating: Is it possible to classify behaviors in couple interactions using automatically derived lexical features?. In Proceedings of Affective Computing and Intelligent Interaction (ACII), Lecture Notes in Computer Science, oct 2011.

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Abstract

Psychology is often grounded in observational studies ofhuman interaction behavior, and hence on human perception and judg-ment. There are many practical and theoretical challenges in observa-tional practice. Technology holds the promise of mitigating some of thesediļ¬ƒculties by assisting in the evaluation of higher level human behavior.In this work we attempt to address two questions: (1) Does the lexicalchannel contain the necessary information towards such an evaluation;and if yes (2) Can such information be captured by a noisy automatedtranscription process. We utilize a large corpus of couple interaction data, collected in the context of a longitudinal study of couple therapy. In theoriginal study, each spouse was manually evaluated with several session-level behavioral codes (e.g., level of acceptance toward other spouse).Our results will show that both of our research questions can be answeredpositively and encourage future research into such assistive observationaltechnologies.

BibTeX Entry

@inproceedings{Georgiou2011Thatsaggravatingveryaggravating:,
 abstract = {Psychology is often grounded in observational studies of
human interaction behavior, and hence on human perception and judg-
ment. There are many practical and theoretical challenges in observa-
tional practice. Technology holds the promise of mitigating some of these
diļ¬ƒculties 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 session-
level 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.},
 author = {Georgiou, Panayiotis and Black, Matthew P. and Lammert, Adam and Baucom, Brian and Narayanan, Shrikanth S.},
 bib2html_rescat = {},
 booktitle = {Proceedings of Affective Computing and Intelligent Interaction (ACII), Lecture Notes in Computer Science},
 doi = {10.1007/978-3-642-24600-5_12},
 link = {http://sail.usc.edu/publications/files/69740087.pdf},
 location = {Memphis, TN},
 month = {oct},
 title = {That's aggravating, very aggravating: Is it possible to classify behaviors in couple interactions using automatically derived lexical features?},
 year = {2011}
}

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