Trust in Fusion-Driven Human-Machine Environments

Trust can be defined as an information quality characteristic representing a subjective level of belief of a user (either human or automatic) that the information he is using can be admitted into the system, transferred between system processes, or used for making decisions. The trustworthiness of an automatic agent is defined by the level of reliability considered in a particular context and based on domain knowledge, and statistical information obtained from previous experience/experiments. The problem of defining trust in information provided by humans is more difficult since their characteristics can be unknown, information can be manipulated or affected by multiple biases. The paper discusses the problems of trust representation, incorporating it into a fusion-based system, and introduces an approach to modeling trust and distrust based on a unified framework of the Transferable Belief modal and Belief Based Argumentation.