Neumann, Alexander
[VerfasserIn];
Hermann, Thomas
[VerfasserIn];
van Berlo, Ad
[VerfasserIn];
Hallenborg, Kasper
[VerfasserIn];
Rodriguez, Juan M. Corchado
[VerfasserIn];
Tapia, Dante I.
[VerfasserIn];
Novais, Paulo
[VerfasserIn]
A Verbal Interaction Measure Using Acoustic Signal Correlation for Dyadic Cooperation Support
Titel:
A Verbal Interaction Measure Using Acoustic Signal Correlation for Dyadic Cooperation Support
Beteiligte:
Neumann, Alexander
[VerfasserIn];
Hermann, Thomas
[VerfasserIn];
van Berlo, Ad
[VerfasserIn];
Hallenborg, Kasper
[VerfasserIn];
Rodriguez, Juan M. Corchado
[VerfasserIn];
Tapia, Dante I.
[VerfasserIn];
Novais, Paulo
[VerfasserIn]
Erschienen:
Springer International Publishing, 2013
Anmerkungen:
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Beschreibung:
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. ; 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.