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Trust reality-mining: evidencing the role of friendship for trust diffusion

Trust reality-mining: evidencing the role of friendship for trust diffusion
Trust reality-mining: evidencing the role of friendship for trust diffusion

Value sensitive design is driven by the motivation of making social and moral values central to the development of ICT systems. Among the most challenging concerns when imparting shared values like accountability, transparency, liberty, fairness and trust into information technology are reliable and comprehensive formal and computational models of those values. This paper, educated by trust theories and models from cognitive science, social sciences and artificial intelligence, proposes a novel stochastic computational model of trust, encapsulating abstractions of human cognitive capabilities and empirically evidenced social interaction patterns. Qualitative and quantitative features of trust are identified, upon which our formal model is phrased. Reality mining methods are used to validate the model based on a real life community dataset. We analyze the time-varying dynamics of the interaction and communication patterns of the community, consider varying types of relationships as well as their symmetry. Social network data analysis shows that our model better fits the evolved friendships compared to a well designed synthetic trust model, which is used as the baseline.

Pervasive trust, Reality mining, Socio-technical systems, Value sensitive design
Farrahi, Katayoun
bc848b9c-fc32-475c-b241-f6ade8babacb
Zia, Kashif
d79cc3b9-7062-4ffc-8d62-626a677d1e35
Farrahi, Katayoun
bc848b9c-fc32-475c-b241-f6ade8babacb
Zia, Kashif
d79cc3b9-7062-4ffc-8d62-626a677d1e35

Farrahi, Katayoun and Zia, Kashif (2017) Trust reality-mining: evidencing the role of friendship for trust diffusion. Human-centric Computing and Information Sciences, 7 (1), [4]. (doi:10.1186/s13673-016-0085-y).

Record type: Article

Abstract

Value sensitive design is driven by the motivation of making social and moral values central to the development of ICT systems. Among the most challenging concerns when imparting shared values like accountability, transparency, liberty, fairness and trust into information technology are reliable and comprehensive formal and computational models of those values. This paper, educated by trust theories and models from cognitive science, social sciences and artificial intelligence, proposes a novel stochastic computational model of trust, encapsulating abstractions of human cognitive capabilities and empirically evidenced social interaction patterns. Qualitative and quantitative features of trust are identified, upon which our formal model is phrased. Reality mining methods are used to validate the model based on a real life community dataset. We analyze the time-varying dynamics of the interaction and communication patterns of the community, consider varying types of relationships as well as their symmetry. Social network data analysis shows that our model better fits the evolved friendships compared to a well designed synthetic trust model, which is used as the baseline.

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More information

Published date: 1 December 2017
Additional Information: Publisher Copyright: © 2017, The Author(s).
Keywords: Pervasive trust, Reality mining, Socio-technical systems, Value sensitive design

Identifiers

Local EPrints ID: 471153
URI: http://eprints.soton.ac.uk/id/eprint/471153
PURE UUID: 8e0329f6-3416-474a-84c7-9d7e36ed66b2
ORCID for Katayoun Farrahi: ORCID iD orcid.org/0000-0001-6775-127X

Catalogue record

Date deposited: 28 Oct 2022 16:37
Last modified: 06 Jun 2024 01:59

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Contributors

Author: Katayoun Farrahi ORCID iD
Author: Kashif Zia

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