sigrad 2014

Over the last 20 years ubiquitous computing has become reality. Phones, household appliances,TVs, cars, and even buildings have essentially become computers. interacting with computing technologies has become an integral part of our life. Embedded computers more and more shape how we perceive the world and how we interact with each other. By creating ubiquitous computing technologies we inevitably change the way people live. There are great opportunities to build new interactive tool and integrate them in our environment, but developing these systems, raises again many engineering challenges solved in graphical systems. in the talk, some of the technology trends that enable a new generation of computing systems will be highlighted. Examples of interactive ubiquitous computing will be discussed to outline key challenges. The talk concludes with a vision that suggests computing systems can massively enhance human perception and cognition in the near future. With this example the fundamental tension between what is feasible and what is desirable is raised. 10 30 10 35 announcements 10 30 11 00 Coffee break 11 00 12 00 Paper session 1 : erik Sintorn (session chair) Title: iPFViewer: incremental, approximate analysis of steel samples Abstract: This paper describes the design of a visual analysis tool for our inclusion Processing Framework, called iPFViewer. The tool has been designed in cooperation with a large german steel production facility in order to acquire knowledge from data collected about nonmetallic inclusions and other defects in steel samples. We have highlighted parts of the framework in previous publications in interdisciplinary journals. Here, we describe our contribution in the area of grouped or clustered data items. These data groups are visualized by techniques known from uncertainty visualization to make visible JUne 12Th This paper describes the design of a visual analysis tool for our inclusion Processing Framework, called iPFViewer. The tool has been designed in cooperation with a large german steel production facility in order to acquire knowledge from data collected about nonmetallic inclusions and other defects in steel samples. We have highlighted parts of the framework in previous publications in interdisciplinary journals. Here, we describe our contribution in the area of grouped or clustered data items. These data groups are visualized by techniques known from uncertainty visualization to make visible JUne 12Th