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Titlebook: Adaptive and Personalized Visualization; Alvitta Ottley Book 2020 Springer Nature Switzerland AG 2020

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發(fā)表于 2025-3-21 16:51:39 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)Adaptive and Personalized Visualization
影響因子2023Alvitta Ottley
視頻videohttp://file.papertrans.cn/145/144783/144783.mp4
學(xué)科分類(lèi)Synthesis Lectures on Visualization
圖書(shū)封面Titlebook: Adaptive and Personalized Visualization; Alvitta Ottley Book 2020 Springer Nature Switzerland AG 2020
影響因子There is ample evidence in the visualization community that individual differences matter. These prior works highlight various personality traits and cognitive abilities that can modulate the use of the visualization systems and demonstrate a measurable influence on speed, accuracy, process, and attention. Perhaps the most important implication of this body of work is that we can use individual differences as a mechanism for estimating when a design is effective or to identify when people may struggle with visualization designs.These effects can have a critical impact on consequential decision-making processes. One study that appears in this book investigated the impact of visualization on medical decision-making showed that visual aides tended to be most beneficial for people with high spatial ability, a metric that measures a person’s ability to represent and manipulate two- or three-dimensional representations of objects mentally. The results showed that participants with low spatial ability had difficulty interpreting and analyzing the underlying medical data when they use visual aids. Overall, approximately 50% of the studied population were unsupported by the visualization to
Pindex Book 2020
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https://doi.org/10.1007/3-540-32786-Xrt rate, eye gaze, brain imaging, etc.) for evaluating visualizations. At the same BELIV workshop, Ji Soo Yi [176] proposed studying individual differences when evaluating visualizations. Yi argued that understanding how users differ in personality and cognitive factors is important in evaluating vi
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https://doi.org/10.1007/3-540-32786-Xtes express our situational condition at a specific time. Cognitive traits reveal stable factors that distinguish one person from another, and is arguably to most important of the three dimensions. As such, numerous studies have focused on identifying cognitive traits or “stable tendencies to respon
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https://doi.org/10.1007/3-540-32786-X representation can make traditionally difficult problems more concrete and easier to understand. In practice, however, nuanced contextual and individual factors heavily impact the effectiveness of visualizations, making the right representation difficult to establish.
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https://doi.org/10.1007/3-540-32786-Xr’s spatial ability is a mediating factor, and that we can use spatial ability to predict performance across different representations of a Bayesian reasoning problem. Furthermore, we saw that none of the tested conditions were ideal for all users, highlighting the importance of tailoring designs to
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Basic Methods for the Biochemical Labtion would hinge on the assumption that LOC not only impacts speed and accuracy, but it also influences . a user interacts with an interface. In this chapter, we explore the feasibility of personalized visualizations by analyzing users’ interactions to investigate the relationship between LOC, visua
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