Proceedings of the 19th International Conference on Intelligent User Interfaces 2014
DOI: 10.1145/2557500.2557524
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Towards facilitating user skill acquisition

Abstract: A key challenge for information visualization designers lies in developing systems that best support users in terms of their individual abilities, needs, and preferences. However, most visualizations require users to first gather a certain set of skills before they can efficiently process the displayed information. This paper presents a first step towards designing visualizations that provide personalized support in order to ease the so-called 'learning curve' during a user's skill acquisition phase. We presen… Show more

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Cited by 18 publications
(2 citation statements)
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“…With the introduction of high-performance eye tracking devices, researchers use eye movement data [11] to understand human perception. This provides us with new knowledge about what causes confusion in charts [44], visual patterns that benefit recall [8], visual saliency as a measure of attention [63], and assessment methods for visualization proficiency [75]. It is even possible to infer one's personality with eye movement patterns during chart reading [74].…”
Section: Understanding Human Perception For Visualizationmentioning
confidence: 99%
“…With the introduction of high-performance eye tracking devices, researchers use eye movement data [11] to understand human perception. This provides us with new knowledge about what causes confusion in charts [44], visual patterns that benefit recall [8], visual saliency as a measure of attention [63], and assessment methods for visualization proficiency [75]. It is even possible to infer one's personality with eye movement patterns during chart reading [74].…”
Section: Understanding Human Perception For Visualizationmentioning
confidence: 99%
“…We also extend previous work by broadening findings on the value of personalization of content displayed by means of information visualizations. In particular, InfoVis-based content personalization has been formally studied in terms of system-driven adaptation [1,9,30,46,55], but not with customization. Here we provide insights on how effective personalization of InfoVis-based contents could be provided by combining customization and adaptation.…”
Section: Introductionmentioning
confidence: 99%