VisGap2022 - The Gap between Visualization Research and Visualization Software

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https://diglib.eg.org/handle/10.2312/2633202

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Browsing VisGap2022 - The Gap between Visualization Research and Visualization Software by Subject "Human centered computing"

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    Physical Traces and Digital Stories: Exploring the Connections Between Forensics and Visualization
    (The Eurographics Association, 2022) Schetinger, Victor; Salisu, Saminu; Gillmann, Christina; Krone, Michael; Reina, Guido; Wischgoll, Thomas
    Forensics, or forensic science, deals with the analysis of evidence for investigation. It is a a wide and strongly interdisciplinary field that needs the coupling of research, practice, and communication to be useful. New techniques have to be constantly developed and applied in the field to solve social conflicts. Recent work suggests, however, that there are many gaps in this coupling, and we argue that there are lessons to be learned from them. Among the difficulties faced by forensics are the management of its interdisciplinarity and over-specialization, and the effective adoption of new research, which are also pressing for the visualization community. In this paper, we bring a gentle introduction to the challenges of forensics with a focus on its digital forms and explore connections to visualization. We believe these connections can be leveraged to further the development of both fields, and particularly that visualization and interaction are critical for the forensics process.
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    Visualization Ecology Applications for Measurement Science: A Visualization Gap Approach
    (The Eurographics Association, 2022) Su, Simon; Sherman, William; Satterfield, Steve; Griffin, Terence; Ressler, Sandy; George, William; Feng, Shaw; Terrill, Judith; Gillmann, Christina; Krone, Michael; Reina, Guido; Wischgoll, Thomas
    Advanced visualization research have remained insufficiently included in science and engineering workflows due to the highly specialized task-specific requirements and lack of suitable applications. Although the field of visualization is maturing and researchers have invested efforts into introspection and methodologies, much of the research is not readily available to the scientists and engineers in their daily workflow. In our effort to address the visualization gap, we are working to adapt and extend an existing open-source visualization framework in our workflow to streamline our basic research into visualization application to address measurement uncertainty challenges. In addition to benefiting scientists in our organization, we also hope that our contributions to the open-source framework will benefit our customers, the broader scientific community and society.