A metrology-based approach for measuring the social dimension of cognitive trust in collaborative networks
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A metrology-based approach for measuring the social dimension of cognitive trust in collaborative networksAutor(es)
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2020Cita bibliográfica
Andrade-Garda, J., Anguera, Á., Ares-Casal, J. et al. A metrology-based approach for measuring the social dimension of cognitive trust in collaborative networks. Cogn Tech Work 22, 235–248 (2020). https://doi.org/10.1007/s10111-018-0483-1
É version de
https://doi.org/10.1007/s10111-018-0483-1
Resumo
[Abstract]: 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.
Palabras chave
Collaborative network
Measurement
Metrology
Social cognitive trust indicator
Uncertainty of measurement
Measurement
Metrology
Social cognitive trust indicator
Uncertainty of measurement
Descrición
This version of the article has been accepted for publication, after peer review and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at:
https://doi.org/10.1007/s10111-018-0483-1