Review of trust research from an interdisciplinary perspective - psychology, sociology, economics, and cyberspace

Abstract

Trust and trustworthiness apply to a wide range of applications in automation and human interactions. Their definitions and characteristics vary depending on the context and the situation. Nevertheless, they are significant because of risk, vulnerability, uncertainty, and confidence. In this paper we review past work to converge our understanding of Trust (human centric and subjective) and trustworthiness (hardware/software centric and objective) across fields including literature from psychological, sociological, economic, automation, and cyberspace perspectives of trust. We expect to create a more rigorous definition of trust and trustworthiness that leads to finding the appropriate metrics to measure trust and trustworthiness dynamically.

Reputation Management System for Fostering Trust in Collaborative and Cohesive Disaster Management

“…Deutch defines trust as the situation when an individual faces an ambiguous path in which the outcome is either beneficial or harmful depending on the behavior of another person [5].The nature of trust is identified as dynamic in context [6]. Considering this characteristic, several trust management systems(applicable to different domains) have been developed.…”

“…These systems are either reputation-based or policies-based. For reputation-based systems, trust is evaluated on the history of performance or interaction whereas for policy-based systems, trust assessment is based on credentials for issuance of access [6]. Furthermore, trust has three properties; identification, qualification and consistency.…”

Fundamental features of a unified trust model for distributed systems

“…The working definitions we adopted in [4] were given by Corritore et al [6] as: Trust is an act of a trustor (subjective), i.e. a person places his or her trust in some object regardless of whether the person's trust proves to be well placed or not.…”

“…To answer these questions, we build on our previous paper [4] in which we employed an interdisciplinary approach to highlight trustworthiness characteristics and trust measurements in social sciences and cyberspace. This approach was motivated because trust and reputation are subjective measures; there exists a wealth of trust studies and empirical findings in the field of social sciences; and it is argued that the concept of incorporating reputation into trust in a social network is a proxy for modeling trust in sensor networks [5].…”

“…In the literature review section, we extend the definitions of trust and trustworthiness from [4] to address the specific features of a sensor network. This section also includes the justifications for the constraints of our design followed by a section comparing various conceptualizations of trust, trustworthiness, confidence, and opinion metrics in the distributed networks.…”