使可视化和界面适应用户

IF 1 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

IT-Information Technology Pub Date : 2022-08-01 DOI:10.1515/itit-2022-0035

Francesco Chiossi, Johannes Zagermann, Jakob Karolus, Nils Rodrigues, Priscilla Balestrucci, D. Weiskopf, Benedikt V. Ehinger, Tiare M. Feuchtner, Harald Reiterer, Lewis L. Chuang, Marc Ernst, A. Bulling, Sven Mayer, Albrecht Schmidt

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引用次数: 10

摘要

自适应可视化和界面渗透到我们的日常任务中，从用户性能和体验的角度改善交互。这种方法允许使用多种用户输入，无论是生理的、行为的、定性的还是多模态的组合，来增强交互。由于方法众多，我们概述了用于适应可视化和用户界面的输入的当前研究趋势。此外，我们还讨论了混合现实、生理计算、视觉分析和熟练度感知系统中使用的方法方法。通过这项工作，我们对自适应系统的当前研究进行了概述。

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Adapting visualizations and interfaces to the user

Abstract Adaptive visualization and interfaces pervade our everyday tasks to improve interaction from the point of view of user performance and experience. This approach allows using several user inputs, whether physiological, behavioral, qualitative, or multimodal combinations, to enhance the interaction. Due to the multitude of approaches, we outline the current research trends of inputs used to adapt visualizations and user interfaces. Moreover, we discuss methodological approaches used in mixed reality, physiological computing, visual analytics, and proficiency-aware systems. With this work, we provide an overview of the current research in adaptive systems.

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来源期刊

IT-Information Technology COMPUTER SCIENCE, INFORMATION SYSTEMS-

CiteScore

3.80

自引率

0.00%

发文量