Immersive Analytics

被引：0

作者：

Chandler, Tom ^{[1
]}

Cordeil, Maxime ^{[1
]}

Czauderna, Tobias ^{[1
]}

Dwyer, Tim ^{[1
]}

Glowacki, Jaroslaw ^{[1
]}

Goncu, Cagatay ^{[1
]}

Klapperstueck, Matthias ^{[1
]}

Klein, Karsten ^{[1
]}

Marriott, Kim ^{[1
]}

Schreiber, Falk ^{[1
]}

Wilson, Elliot ^{[1
]}

机构：

[1] Monash Univ, Fac IT, Melbourne, Vic, Australia

来源：

2015 BIG DATA VISUAL ANALYTICS (BDVA) | 2015年

关键词：

DATA VISUALIZATION; ENVIRONMENT;

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Immersive Analytics is an emerging research thrust investigating how new interaction and display technologies can be used to support analytical reasoning and decision making. The aim is to provide multi-sensory interfaces that support collaboration and allow users to immerse themselves in their data in a way that supports real-world analytics tasks. Immersive Analytics builds on technologies such as large touch surfaces, immersive virtual and augmented reality environments, sensor devices and other, rapidly evolving, natural user interface devices. While there is a great deal of past and current work on improving the display technologies themselves, our focus in this position paper is on bringing attention to the higher-level usability and design issues in creating effective user interfaces for data analytics in immersive environments.

引用

页数：8

共 50 条

[1] Immersive Analytics
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[2] Survey of Immersive Analytics
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[3] Immersive analytics: An overview
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[8] [DC] The Immersive Space to Think: Immersive Analytics for Multimedia Data
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[9] Envisioning Future Productivity for Immersive Analytics
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[10] VRIA - A Framework for Immersive Analytics on the Web
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CHI EA '19 EXTENDED ABSTRACTS: EXTENDED ABSTRACTS OF THE 2019 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, 2019,

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