Integrating Trust and Economic Theories with Knowledge Science for Dependable Service Automation

摘要

This paper examines the necessity to integrate Economic Theories and Trust Theories with Knowledge Science for trustworthy service automation in modern day society's technology-driven environment. Current demands for open user-centric distributed service systems far outweigh the capabilities of existing systems in application areas such as health care, e-business, and consumer-centric power and water distribution systems. The basis of service transactions, whether in traditional market place or on-line system, is trust and lack of trust will have diminishing effect on the economic value. It is essential to identify user perspectives and relate their social psychology to meaningful trust determinants in the system to be automated. Since the systems are typically large, distributed, and deal with many heterogeneous collection of sensory devices and actuators that are specific to each service domain, it is necessary that the experts of the application domain and system developers share their knowledge and wisdom in the creation of the system. Sharing knowledge requires trust, and using the acquired knowledge requires creativity, born out of tacit knowledge, to go beyond risks. Motivated by this triangular web of Economics, Trust, and Knowledge that impacts on consumer-centric service automation, this paper explores their interesting connections, explains the different kinds of trust to be distilled from it, and identifies the design stages where the appropriate trust determinants are to be fostered in order to achieve a dependable service automation system.