Browsing by Author "Kim, Younghoon"

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    Color Names Across Languages: Salient Colors and Term Translation in Multilingual Color Naming Models
    (The Eurographics Association, 2019) Kim, Younghoon; Thayer, Kyle; Gorsky, Gabriella Silva; Heer, Jeffrey; Johansson, Jimmy and Sadlo, Filip and Marai, G. Elisabeta
    Color names facilitate the identification and communication of colors, but may vary across languages. We contribute a set of human color name judgments across 14 common written languages and build probabilistic models that find different sets of nameable (salient) colors across languages. For example, we observe that unlike English and Chinese, Russian and Korean have more than one nameable blue color among fully-saturated RGB colors. In addition, we extend these probabilistic models to translate color terms from one language to another via a shared perceptual color space. We compare Korean-English translations from our model to those from online translation tools and find that our method better preserves perceptual similarity of the colors corresponding to the source and target terms. We conclude with implications for visualization and future research.
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    Designing Animated Transitions to Convey Aggregate Operations
    (The Eurographics Association and John Wiley & Sons Ltd., 2019) Kim, Younghoon; Correll, Michael; Heer, Jeffrey; Gleicher, Michael and Viola, Ivan and Leitte, Heike
    Data can be aggregated in many ways before being visualized in charts, profoundly affecting what a chart conveys. Despite this importance, the type of aggregation is often communicated only via axis titles. In this paper, we investigate the use of animation to disambiguate different types of aggregation and communicate the meaning of aggregate operations. We present design rationales for animated transitions depicting aggregate operations and present the results of an experiment assessing the impact of these different transitions on identification tasks. We find that judiciously staged animated transitions can improve subjects' accuracy at identifying the aggregation performed, though sometimes with longer response times than with static transitions. Through an analysis of participants' rankings and qualitative responses, we find a consistent preference for animation over static transitions and highlight visual features subjects report relying on to make their judgments. We conclude by extending our animation designs to more complex charts of aggregated data such as box plots and bootstrapped confidence intervals.