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A metrology-based approach for measuring the social dimension of cognitive trust in collaborative networks
Cognition, Technology & Work ( IF 2.4 ) Pub Date : 2018-05-03 , DOI: 10.1007/s10111-018-0483-1
Javier Andrade-Garda , Áurea Anguera , Juan Ares-Casal , Rafael García-Vázquez , Juan-Alfonso Lara , David Lizcano , Santiago Rodríguez-Yáñez , Sonia Suárez-Garaboa

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.

中文翻译:

一种基于计量学的方法,用于测量协作网络中认知信任的社会维度

本文讨论了协作网络中认知信任的社会维度的测量。信任指标通常在文献中进行衡量和组合,以计算合作伙伴的可信度。在表达测量结果时,应该给出结果质量的一些定量指示——测量的不确定度。然而,目前这并没有考虑到协作网络中认知信任的社会维度的测量。鉴于此,提出了一种基于计量学的创新方法,用于测量协作网络中的社会认知信任指标。因此,测量结果总是伴随着测量的不确定性,以及传统上用来正确解释结果的信息:样本量、
更新日期:2018-05-03
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