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We present ChronoViz, a system to aid annotation, visualization, navigation, and analysis of multimodal time-coded data. Exploiting interactive paper technology, ChronoViz also integrates researcher's paper notes into the composite data set. Researchers can navigate data in multiple ways, taking advantage of synchronized visualizations and annotations. The(More)
We conducted two studies that investigated display characteristics related to color (hue, saturation, brightness, and transparency) and contrast with a background for displaying information qualifiers (termed meta-information) such as uncertainty, age, and source quality. Level of detail (or granularity) of the meta-information and task demands were also(More)
As part of our research on multimodal analysis and visualization of activity dynamics, we are exploring the integration of data produced by a variety of sensor technologies within ChronoViz, a tool aimed at supporting the simultaneous visualization of multiple streams of time series data. This paper reports on the integration of a mobile eye-tracking system(More)
The intertwining of everyday life and computation, along with a new generation of inexpensive digital recording devices and storage facilities, is revolutionizing our ability to collect and analyze human activity data. Such ubiquitous data collection has an exciting potential to augment human cognition and radically improve information-intensive work. In(More)
Researchers from many disciplines are taking advantage of increasingly inexpensive digital video to capture extensive records of human activity in real-world settings. The ability to record and share such data has created a critical moment in the practice and scope of behavioral research. While recent work is beginning to develop techniques for visualizing(More)
42 AI MAGAZINE Context awareness has recently become an important research topic. This is partly driven by rapid growth in the “Internet of Things,” which the Gartner Group predicts will grow to more than 30 billion connected devices, sensors, and computers by 2020 (Middleton, Kjeldsen, and Sutton 2013). Consequently, the types of environments, tasks, and(More)
The rendering of timely and accurate decisions in safety-critical systems requires that the human operator integrate information from various sources. The integration of this information in turn depends on the skill and experience level of the operator and on a thorough understanding of the qualities of that information (e.g. recency), known as(More)
Aggregating, assimilating, and understanding the ever-larger amounts of heterogeneous information present in network-centric environments presents distinct cognitive challenges to the command and control staff. Under previous efforts (Pfautz, 2006), we have detailed our efforts to analyze how qualifiers of information, or meta-information (e.g.,(More)