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Open Access A Grounded Theory Study on the Language of Data Visualization Principles and Guidelines

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Current automated visualization techniques use only a small set of basic guidelines, mostly based on perceptual principles. Yet, in literature a broad set factors are discussed for effective visualization design. In this paper, we analyzed principles and guidelines extracted from academic papers, books, and blogs and examined factors that influence visualization design to aid the design of automated visualization systems. We used grounded theory to code and examine concepts and relationships extracted. We found a variety factors, including domain, semantics, user tasks, insight, and display characteristics and found a variety of interactions between these factors including causal, contextual, and logical relationships. Our findings suggest that automatic approaches need to handle not only broader set of factors but also complex interactions among them. Furthermore, several factors such as domain and semantics are likely to gain even more importance, necessitating flexibility in terms the specification of design know-how as input to automatic visual analytics systems.
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Document Type: Research Article

Publication date: 14 February 2016

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  • For more than 30 years, the Electronic Imaging Symposium has been serving those in the broad community - from academia and industry - who work on imaging science and digital technologies. The breadth of the Symposium covers the entire imaging science ecosystem, from capture (sensors, camera) through image processing (image quality, color and appearance) to how we and our surrogate machines see and interpret images. Applications covered include augmented reality, autonomous vehicles, machine vision, data analysis, digital and mobile photography, security, virtual reality, and human vision. IS&T began sole sponsorship of the meeting in 2016. All papers presented at EIs 20+ conferences are open access.

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