Abstract
During the past decade, progress in research on human communication networks has been impeded by the discovery that self-reports of communication are not valid measures of independently observable behavior. Research on observable communication behavior has since languished because direct measurement of communication behavior by human observers is impractical. This report describes a method for using digital signal analysis of synchronous, independent-channel audio recordings to detect instances of message exchange behavior. The system achieved 95.1% agreement with a human observer in a laboratory test. Considerations for extension to the field are discussed.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 163-179 |
| Number of pages | 17 |
| Journal | Social Networks |
| Volume | 16 |
| Issue number | 2 |
| DOIs | |
| State | Published - 1994 |
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ASJC Scopus subject areas
- Sociology and Political Science
Cite this
A synchronous digital signal processing method for detecting face-to-face organizational communication behavior. / Corman, Steven; Scott, Craig R.
In: Social Networks, Vol. 16, No. 2, 1994, p. 163-179.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - A synchronous digital signal processing method for detecting face-to-face organizational communication behavior
AU - Corman, Steven
AU - Scott, Craig R.
PY - 1994
Y1 - 1994
N2 - During the past decade, progress in research on human communication networks has been impeded by the discovery that self-reports of communication are not valid measures of independently observable behavior. Research on observable communication behavior has since languished because direct measurement of communication behavior by human observers is impractical. This report describes a method for using digital signal analysis of synchronous, independent-channel audio recordings to detect instances of message exchange behavior. The system achieved 95.1% agreement with a human observer in a laboratory test. Considerations for extension to the field are discussed.
AB - During the past decade, progress in research on human communication networks has been impeded by the discovery that self-reports of communication are not valid measures of independently observable behavior. Research on observable communication behavior has since languished because direct measurement of communication behavior by human observers is impractical. This report describes a method for using digital signal analysis of synchronous, independent-channel audio recordings to detect instances of message exchange behavior. The system achieved 95.1% agreement with a human observer in a laboratory test. Considerations for extension to the field are discussed.
UR - http://www.scopus.com/inward/record.url?scp=33745029676&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33745029676&partnerID=8YFLogxK
U2 - 10.1016/0378-8733(94)90003-5
DO - 10.1016/0378-8733(94)90003-5
M3 - Article
AN - SCOPUS:33745029676
VL - 16
SP - 163
EP - 179
JO - Social Networks
JF - Social Networks
SN - 0378-8733
IS - 2
ER -