Conceptualizing Audio Message Complexity as Available Processing Resources.
This article describes and validates a human-centric measure of audio message complexity. Messages are coded in terms of the level of cognitive resources that would be automatically elicited and required to process the message. Indicators of automatic resources elicited come from counting the orient...
| Publicado en: | Communication Research Vol. 42; no. 6; pp. 759 - 779 |
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| Autores principales: | , , , , , |
| Formato: | Artículo |
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Sage Publications Inc.
Aug2015
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=109193939&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 109193939 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00936502 CRX jtl: Communication Research issn: 00936502 maglogo: Y pubinfo: dt: Aug2015 vid: 42 iid: 6 pid: 344 pub: Sage Publications Inc. artinfo: ui: 109193939 10.1177/0093650213490722 ppf: 759 ppct: 20 formats: tig: atl: Conceptualizing Audio Message Complexity as Available Processing Resources. aug: au: Lang, Annie Gao, Ya Potter, Robert F. Lee, Seungjo Park, Byungho Bailey, Rachel L. affil: Indiana University, Bloomington, IN, USA Chung-Ang University, Seoul, Korea Korea Advanced Institute of Science and Technology, Seoul, Korea su: Comprehension Sound recordings Cognition Motivation (Psychology) Message processing (Telecommunication) Complexity (Philosophy) sug: subj: Comprehension Sound recordings Cognition Motivation (Psychology) Integrated Record Production/Distribution Sound recording merchant wholesalers Record Production Message processing (Telecommunication) Complexity (Philosophy) keyword: audio processing message processing motivated cognition audio processing message processing motivated cognition ab: This article describes and validates a human-centric measure of audio message complexity. Messages are coded in terms of the level of cognitive resources that would be automatically elicited and required to process the message. Indicators of automatic resources elicited come from counting the orienting eliciting audio content changes in radio messages (Acc). The indicator of resources required comes from counting the dimensions of audio information introduced (Aii) by these content changes. The combination produces an indicator of available resources that serves as the complexity variable. Messages high in available resources are low in complexity; messages low in available resources are high in complexity. Two experiments are presented exploring the empirical validity of the measures as both local (moment to moment) and global (message level) operationalizations of complexity. Results suggest the measures have high construct validity. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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