Open learner models (OLM) enable users to access their learner model to view information about their understanding. Opening the learner model to the learner may increase their perceptions of how a system evaluates their knowledge and updates the model. This raises questions of trust relating to whether the learner believes the evaluations are correct, and whether they trust the system as a whol...

This paper develops a formal model of topological relations between a directed line segment (DLine) and a region in a two-dimensional space. Such model forms a foundation for characterizing movement patterns of an agent with respect to a region. The DLine-region relations are captured by the 9intersection for line-region relations with further distinction of the line’s boundary into two subpart...

Although longer reviews are generally considered more helpful, no research has investigated whether “the more the better” also applies to the expression of emotions. This paper explores the distinct effects of review length and emotional intensity. We propose that, in contrast to review length, the intensity of emotions has a negative effect on review helpfulness, and that this effect only appl...

Trust plays an important role in commercial cloud environments. It is one of the biggest challenges of cloud technology. Trust enables users to select the best resources in a heterogeneous cloud infrastructure. We introduce a novel trust model based on past credentials and present capabilities of a cloud resource provider. Trust value is calculated using four parameters such as availability, re...

This paper proposes a model for quantifying and reasoning about trust in IT equipment. Trust is considered to be a subjective belief, and the model consists of a belief model and set of operators for combining beliefs. Security evaluation is being discussed as a method for determining trust. Trust may also be based on other types of evidence such as for example ISO 9000 certi cation, and the mo...

The establishment of trust-relationships, in a sense, averts the potential dangers which caused by the aimless interaction between entities. This paper proposes the technical route and the complete prediction model for the dynamic trust-relationships prediction aims at the limitation of historical evidence and the dynamic nature of trust-relationships. This model can do screening for malicious ...

The extensive use of the Internet, for exchanging information, requesting and offering services make us to interact with unknown entities. Human use trust to facilitate interaction and accept the risk, when complete information is unavailable. In such situations, trust establishment mechanisms enable establishment of trust between unknown entities. Trust is a complex concept to define stringent...

Trust can be used to measure our confidence that a secure system behaves as expected. We had previously proposed a vector model of trust [1]. In this work we address the problem of trust management using the vector model. We develop a new trust management engine which we call VTrust (from Vector Trust). The trust management engine stores and manages current as well as historical information abo...

When considering intelligent agents that interact with humans, having an idea of the trust levels of the human, for example in other agents or services, can be of great importance. Most models of human trust that exist assume trust in one trustee is independent of trust in another trustee. The model introduced here addresses so-called relative trust. The idea of relative trust is that trust in ...

This paper deals with trust modelling for distributed systems especially to multi-context trust modelling for multiagent distributed systems. There exists many trust and reputation models but most of them do not dealt with the multi-context property of trust or reputation. Therefore, the main focus of this thesis is on analysis of multicontext trust based models and provides main assumptions fo...