回答为什么?基于多层次可视化任务类型的沉浸式数据可视化应用综述

Najwa Ayuni Jamaludin, Farhan Mohamed, M. Sunar, A. Selamat, O. Krejcar
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引用次数: 0

摘要

沉浸式分析(IA)是一个快速发展的研究领域,旨在通过沉浸式体验改善和促进人类的感知和数据理解。了解将受益于IA的合适的应用程序场景,可以转向开发有效且有意义的应用程序。本文旨在通过对现有研究进行系统回顾,并根据抽象可视化任务的多层次类型(也称为What-Why-How框架)对其进行映射,探索可以受益于IA的任务和场景。该研究综合了几项工作来回答为什么在多个层次的特异性背景下。最后,对研究的局限性和未来的工作进行了展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Answering Why? An Overview of Immersive Data Visualization Applications Using Multi-Level Typology of Visualization Task
Immersive Analytics (IA) is a fast-growing research field that concerns improving and facilitating human sensemaking and data understanding through an immersive experience. Understanding the suitable application scenario that will benefit from IA enables a shift towards developing effective and meaningful applications. This paper aims to explore tasks and scenarios that can benefit from IA by conducting a systematic review of existing studies and mapping them according to the multi-level typology for abstract visualization tasks, which is also known as the What-Why-How framework. The study synthesized several works to answer the Why within the context of multiple levels of specificity. Finally, the limitations and future works are discussed.
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