This paper introduces t-OLM, an open learner model to investigate user trust in a range of learner model externalisations. It was found that, while sufficient levels of use were ma...
The online trust discussion is focused on mechanisms for building and maintaining user trust. This paper introduces the relevance of providing for the repair of trust breakdowns. ...
In this paper, we present an approach that aims to study users' past trust decisions (PTDs) for improving the accuracy of detecting phishing sites. Generally, Web users requir...
Abstract. Past evidence has shown that generic approaches to recommender systems based upon collaborative filtering tend to poorly scale. Moreover, their fitness for scenarios su...
Abstract: For many anthropomorphic representations on computer interfaces, there are choices of using mediacaptured human components and using computer-synthesized humanoid counter...