1,721,057 research outputs found
Towards a Trust Analysis Framework for Pervasive Computing Scenarios
We present a scheme for highlighting the trust issues of merit within pervasive computing, based on an analysis of scenarios from the healthcare domain. The first scenario helps us define an analysis grid, where the human and technical aspects of trust are considered. The analysis is applied to a second scenario to examine its suitability. We then discuss the various categories of the analysis grid in the light of this examination and of the literature on the subject of trust. We believe that this approach could form the basis of a generalised trust analysis framework to support the design, procurement and use of pervasive computing
A semantics-based approach to designing presentations for multimedia database query results
The Theory of Visual Sentences to Formalize Interactive Visual languages
This chapter introduces an approach to the theory of visual languages, based on the notion of visual sentence as defined by the integration of pictures and descriptions. The paper proceeds by firstly tracking the history of the ideas that stemmed from the initial IEEE Workshop held at Hiroshima (Japan) during 1984 and then gradually progressing towards the formalisms that build up the theory of visual languages. The theory of visual sentences allows a coherent view of both static and dynamic aspects of human-computer interaction, as well as of the relations between the user and the machine during the interaction
Combining Composition Technologies and EUD to Enhance Visitors' Experience at Cultural Heritage Sites
The Challenge of Visualizing Patient Histories on a Mobile Device
This paper presents a tool to display patient histories and to visually query patient data, stored in the hospital database, using a mobile device. Employing Information Visualization techniques, the developed tool is able to accommodate on the screen a good amount of information that physicians require in their analysis of the clinical cases. This work has been motivated by specific requests of physicians of a pediatric hospital treating children with neurological diseases
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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