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      The Elicitation Interview Technique: Capturing People's Experiences of Data Representations

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          Describing one’s subjective experience in the second person: An interview method for the science of consciousness

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            A nested model for visualization design and validation.

            We present a nested model for the visualization design process with four layers: characterize the problem domain, abstract into operations on data types, design visual encoding and interaction techniques, and create algorithms to execute techniques efficiently. The output from a level above is input to the level below, bringing attention to the design challenge that an upstream error inevitably cascades to all downstream levels. This model provides prescriptive guidance for determining appropriate evaluation approaches by identifying threats to validity unique to each level. We call attention to specific steps in the design and evaluation process that are often given short shrift. We also provide three recommendations motivated by this model:authors should distinguish between these levels when claiming contributions at more than one of them, authors should explicitly state upstream assumptions at levels above the focus of a paper, and visualization venues should accept more papers on domain characterization.
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              Toward a deeper understanding of the role of interaction in information visualization.

              Even though interaction is an important part of information visualization (Infovis), it has garnered a relatively low level of attention from the Infovis community. A few frameworks and taxonomies of Infovis interaction techniques exist, but they typically focus on low-level operations and do not address the variety of benefits interaction provides. After conducting an extensive review of Infovis systems and their interactive capabilities, we propose seven general categories of interaction techniques widely used in Infovis: 1) Select, 2) Explore, 3) Reconfigure, 4) Encode, 5) Abstract/Elaborate, 6) Filter, and 7) Connect. These categories are organized around a user's intent while interacting with a system rather than the low-level interaction techniques provided by a system. The categories can act as a framework to help discuss and evaluate interaction techniques and hopefully lay an initial foundation toward a deeper understanding and a science of interaction.
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                Author and article information

                Journal
                IEEE Transactions on Visualization and Computer Graphics
                IEEE Trans. Visual. Comput. Graphics
                Institute of Electrical and Electronics Engineers (IEEE)
                1077-2626
                December 1 2016
                December 1 2016
                : 22
                : 12
                : 2579-2593
                Article
                10.1109/TVCG.2015.2511718
                82418d6b-9d8c-4cef-9955-b320093d8d7f
                © 2016
                History

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