Thats aggravating, very aggravating: Is it possible to classify behaviors in couple interactions using automatically derived lexical features?

Thats aggravating, very aggravating: Is it possible to classify behaviors in couple interactions using automatically derived lexical features?. Georgiou, P., Black, M. P., Lammert, A., Baucom, B., & Narayanan, S. S. In Proceedings of Affective Computing and Intelligent Interaction (ACII), Lecture Notes in Computer Science, Oct, 2011.
doi abstract bibtex

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 di?culties 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.

@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
di?culties 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 = {Thats aggravating, very aggravating: Is it possible to classify behaviors in couple interactions using automatically derived lexical features?},
 year = {2011}
}

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