The notion of icons in visual environments is limited by perceiving icons as tacit entities that have meaning only to human beings and not to the machines that display them. This perception leads to visual tools that provide very little support for the creation of related icons representing related concepts. A large number of complex icons can be generated automatically by applying simple synta...

Unlike the early days of computering, our contemporary virtual lives are filled with rich graphics. However examination of many weblog sites revealed that most buttons (commands) were text based. Why so? This paper compared (quantitatively and qualitatively) the differences in usability between textbased interface and icon-based interface in weblog environment. In addition, this paper intended ...

Until recently the guiding tenet in human-computer interaction was that any interface must be easy to learn and use. However, it has been increasingly recognized that the appeal of the interface to the user and their enjoyment of it is also important. The aim of the current study was to examine the nature of the relationships between icon characteristics, user performance, and aesthetic appeal....

In this paper we present a method to visualize large amount of high dimensional data. High dimensional data visualization is very important to data analysts since it gives a direct and natural view of data. In our method we use one icon to represent one group of dimensions. Then we choose features of the icon to display the dimensions within each group. We have performed experiments on a real d...

ICON is a computer-based expert system being developed to help radiologists with the process of differential diagnosis. ICON focuses on the domain of lung disease as seen on a chest radiograph in patients with lymphoproliferative disorders. Rather than attempt to tell the radiologist what the diagnosis is, the system asks him or her to propose a diagnosis and then discusses the evidence support...

High dimensional data visualization is critical to data analysts since it gives a direct view of original data. We present a method to visualize large amount of high dimensional data. We divide dimensions of data into several groups. Then, we use one icon to represent each group, and associate visual properties of each icon with dimensions in each group. A high dimensional data record will be r...