A synchronous digital signal processing method for detecting face-to-face organizational communication behavior

Steven Corman; Craig R. Scott

doi:10.1016/0378-8733(94)90003-5

A synchronous digital signal processing method for detecting face-to-face organizational communication behavior

Steven Corman, Craig R. Scott

Research output: Contribution to journal › Article › peer-review

12 Scopus citations

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	https://doi.org/10.1016/0378-8733(94)90003-5
State	Published - Apr 1994

ASJC Scopus subject areas

Anthropology
Sociology and Political Science
Social Sciences(all)
Psychology(all)

Access to Document

10.1016/0378-8733(94)90003-5

Cite this

@article{3fc918ad8caa4dd3aa93e5dcc2ceb4ae,

title = "A synchronous digital signal processing method for detecting face-to-face organizational communication behavior",

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.",

author = "Steven Corman and Scott, {Craig R.}",

year = "1994",

month = apr,

doi = "10.1016/0378-8733(94)90003-5",

language = "English (US)",

volume = "16",

pages = "163--179",

journal = "Social Networks",

issn = "0378-8733",

publisher = "Elsevier BV",

number = "2",

}

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 - 1994/4

Y1 - 1994/4

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

SN - 0378-8733

VL - 16

SP - 163

EP - 179

JO - Social Networks

JF - Social Networks

IS - 2

ER -

A synchronous digital signal processing method for detecting face-to-face organizational communication behavior

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this