A Verbal Interaction Measure Using Acoustic Signal Correlation for Dyadic Cooperation Support

Neumann A, Hermann T (2013)
In: Ambient Intelligence - Software and Applications. van Berlo A, Hallenborg K, Rodriguez JMC, Tapia DI, Novais P (Eds); Advances in Intelligent Systems and Computing, 219. Switzerland: Springer International Publishing: 71-78.

Konferenzbeitrag | Veröffentlicht| Englisch
 
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van Berlo, Ad; Hallenborg, Kasper; Rodriguez, Juan M. Corchado; Tapia, Dante I.; Novais, Paulo
Abstract / Bemerkung
We introduce a method for detecting whether two users are engaged in focused interaction using a windowed correlation measure on their acoustic signals, assuming that a continued exchange of verbal turns contributes to anticorrelation of acoustic activity. We tested our method with manually annotated transitions between focused and unfocused interaction stemming from experiments on AR-based coop- eration within a research project on alignment in communication. The results show that a high degree and extended duration of speech activity anticorrelation reliably indicates focused interaction, and might thus be a valuable asset for situation-aware technical systems.
Stichworte
multiscale analysis; data mining; correlation; speech activity; collaboration; situation awareness
Erscheinungsjahr
2013
Titel des Konferenzbandes
Ambient Intelligence - Software and Applications
Band
219
Seite(n)
71-78
Konferenz
4th International Symposium on Ambient Intelligence (ISAmI 2013)
Konferenzort
Salamanca, Spain
Konferenzdatum
2013-05-22 – 2013-05-24
ISSN
2194-5357
Page URI
https://pub.uni-bielefeld.de/record/2584766

Zitieren

Neumann A, Hermann T. A Verbal Interaction Measure Using Acoustic Signal Correlation for Dyadic Cooperation Support. In: van Berlo A, Hallenborg K, Rodriguez JMC, Tapia DI, Novais P, eds. Ambient Intelligence - Software and Applications. Advances in Intelligent Systems and Computing. Vol 219. Switzerland: Springer International Publishing; 2013: 71-78.
Neumann, A., & Hermann, T. (2013). A Verbal Interaction Measure Using Acoustic Signal Correlation for Dyadic Cooperation Support. In A. van Berlo, K. Hallenborg, J. M. C. Rodriguez, D. I. Tapia, & P. Novais (Eds.), Advances in Intelligent Systems and Computing: Vol. 219. Ambient Intelligence - Software and Applications (pp. 71-78). Switzerland: Springer International Publishing. doi:10.1007/978-3-319-00566-9_10
Neumann, A., and Hermann, T. (2013). “A Verbal Interaction Measure Using Acoustic Signal Correlation for Dyadic Cooperation Support” in Ambient Intelligence - Software and Applications, van Berlo, A., Hallenborg, K., Rodriguez, J. M. C., Tapia, D. I., and Novais, P. eds. Advances in Intelligent Systems and Computing, vol. 219, (Switzerland: Springer International Publishing), 71-78.
Neumann, A., & Hermann, T., 2013. A Verbal Interaction Measure Using Acoustic Signal Correlation for Dyadic Cooperation Support. In A. van Berlo, et al., eds. Ambient Intelligence - Software and Applications. Advances in Intelligent Systems and Computing. no.219 Switzerland: Springer International Publishing, pp. 71-78.
A. Neumann and T. Hermann, “A Verbal Interaction Measure Using Acoustic Signal Correlation for Dyadic Cooperation Support”, Ambient Intelligence - Software and Applications, A. van Berlo, et al., eds., Advances in Intelligent Systems and Computing, vol. 219, Switzerland: Springer International Publishing, 2013, pp.71-78.
Neumann, A., Hermann, T.: A Verbal Interaction Measure Using Acoustic Signal Correlation for Dyadic Cooperation Support. In: van Berlo, A., Hallenborg, K., Rodriguez, J.M.C., Tapia, D.I., and Novais, P. (eds.) Ambient Intelligence - Software and Applications. Advances in Intelligent Systems and Computing. 219, p. 71-78. Springer International Publishing, Switzerland (2013).
Neumann, Alexander, and Hermann, Thomas. “A Verbal Interaction Measure Using Acoustic Signal Correlation for Dyadic Cooperation Support”. Ambient Intelligence - Software and Applications. Ed. Ad van Berlo, Kasper Hallenborg, Juan M. Corchado Rodriguez, Dante I. Tapia, and Paulo Novais. Switzerland: Springer International Publishing, 2013.Vol. 219. Advances in Intelligent Systems and Computing. 71-78.
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2019-09-06T09:18:13Z
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