A metrology-based approach for measuring the social dimension of cognitive trust in collaborative networks
Autor: | Aurea Anguera, Juan-Alfonso Lara, Juan Ares-Casal, Rafael García-Vázquez, David Lizcano, Javier Andrade-Garda, Santiago Rodríguez-Yáñez, Sonia Suárez-Garaboa |
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Rok vydání: | 2018 |
Předmět: |
Computer science
media_common.quotation_subject 05 social sciences Sample (statistics) Cognition Data science 050105 experimental psychology Computer Science Applications Metrology Human-Computer Interaction Philosophy Sample size determination Measurement uncertainty 0501 psychology and cognitive sciences Quality (business) Industrial and organizational psychology 050107 human factors Social cognitive theory media_common |
Zdroj: | Cognition, Technology & Work. 22:235-248 |
ISSN: | 1435-5566 1435-5558 |
Popis: | This paper addresses the measurement of the social dimension of cognitive trust in collaborative networks. Trust indicators are typically measured and combined in literature in order to calculate partners’ trustworthiness. When expressing the result of a measurement, some quantitative indication of the quality of the result—the uncertainty of measurement—should be given. However, currently this is not taken into account for the measurement of the social dimension of cognitive trust in collaborative networks. In view of this, an innovative metrology-based approach for the measurement of social cognitive trust indicators in collaborative networks is presented. Thus, a measurement result is always accompanied by its uncertainty of measurement, as well as by information traditionally used to properly interpret the results: the sample size, and the standard deviation of the sample. |
Databáze: | OpenAIRE |
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