TY  - EDBOOK
AB  - 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.
DA  - 2013
DO  - 10.1007/978-3-319-00566-9_10
KW  - multiscale analysis
KW  - data mining
KW  - correlation
KW  - speech activity
KW  - collaboration
KW  - situation awareness
LA  - eng
PY  - 2013
TI  - A Verbal Interaction Measure Using Acoustic Signal Correlation for Dyadic Cooperation Support
UR  - https://nbn-resolving.org/urn:nbn:de:0070-pub-25847661
Y2  - 2024-11-24T07:23:57
ER  -