Figure 7 - uploaded by James Uther
Content may be subject to copyright.
Source publication
Scrutable (viewable) user models are known to aid learning through metacognitive reflection. In a large domain such as a university medical program, the user model grows too large for established user model viewing techniques. We present a mechanism for allowing a student to view and manipulate such a large model in limited screen space.
Context in source publication
Context 1
... tooltips from the Java Swing API are used to give more accurate data on each of the topics if desired. The topic under the mouse is brightened to allow reading even when dimmed [ Figure 7]. If the student is interested in a topic obscured in a bunch of low relevance topics, they may drag surrounding topics up or down, thus expanding that bunch [ Figure 8]. ...
Similar publications
At the optimization of temperature and feeding profiles of batch processes it is often desirable to consider sev- eral objectives and constraints into the optimization prob- lem. During the beer fermentation a temperature profile is applied to drive the process so as to obey to certain constraints. The design of this temperature profile is an optim...
The human machine interface is the most important factor to operate correctly, accurate and high efficiency, especially for vehicle equipment. User's psychology and cognitive features should be considered when we design interface. On the basis of concept model of adaptive operational interface, this paper present a user model first, which includes...
Personalized recommendation of Points of Interest (POIs) plays a key role in satisfying users on Location-Based Social Networks (LBSNs). In this article, we propose a probabilistic model to find the mapping between user-annotated tags and locations’ taste keywords. Furthermore, we introduce a dataset on locations’ contextual appropriateness and dem...
Citations
... The results were the animated visualization interfaces, Viewer for Large User Models (VLUM) [61], [59], [62] and Scrutable Inference Viewer (SIV), an ontology-based version which supported inference across granularity levels [28], [60]. Fig. 8 is an example for a course in humancomputer interaction. ...
Pervasive and ubiquitous computing have the potential to make huge changes in the ways that we will learn, throughout our lives. This paper presents a vision for the lifelong user model as a first class citizen, existing independently of any single application and controlled by the learner. The paper argues that this is a critical foundation for a vision of personalised lifelong learning as well as a form of augmented cognition that enables learners to supplement their own knowledge with readily accessible digital information based on documents that they have accessed or used. The paper presents work that provides foundations for this vision for a lifelong user model. First, it outlines technical issues and research into approaches for addressing them. Then it presents work on the interface between the learner and the lifelong user model because the human issues of control and privacy are so central. The final discussion and conclusions draw upon these to define a roadmap for future research in a selection of the key areas that will underpin this vision of the lifelong user model.
