Dynamic Multi-View, Multi-Format, Multi-User Visualizations: For Future Cities

被引:0
|
作者
Klein, Bernhard [1 ]
Burkhard, Remo A. [1 ]
Meixner, Christine [2 ]
Treyer, Lukas [2 ]
机构
[1] Singapore ETH Ctr, Future Cities Lab, 1 Create Way, Singapore 138602, Singapore
[2] Swiss Fed Inst Technol, Chair Informat Architecture, CH-8093 Zurich, Switzerland
关键词
User Interface Design; Coordinated and Multiple Views; Service Composition; Knowledge Visualization;
D O I
10.1109/iV.2015.69
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
This paper introduces the concept of dynamic Multi-View, Multi-Format, Multi-User Visualizations. It also suggests aligning all visualization branches to a common problem, namely the design and implementation of future sustainable cities, such as Jakarta, Indonesia. While a lot of visualization research has extensively discussed the emotional, cognitive and coordinative benefits of visual representations, the application of such tools to solve grand societal problems has been neglected. We suggest focusing on Future Cities, since they require solutions and because the field seems to be ideal to align the various subgroups of visualization research. We derived this insight from about 1000 events in our physical value lab and our own software development - the Visual Manager and the Shuffler. The Visual Manager uses visual metaphors to illustrate risk assessment scenarios. The Shuffler is a framework to create coordinated multiple views. The innovative part of this framework is that different visual representations, complementary business logics and datasets can be distributed to different views, which calls for more transdisciplinary work in the design of dynamic multi-view, multi-format and multi-user software. This paper is relevant for researchers in all subgroups of visualization research especially Knowledge Visualization and Information Visualization.
引用
收藏
页码:360 / 365
页数:6
相关论文
共 50 条
  • [21] Multi-View Dynamic Texture Learning
    Thanh Minh Nguyen
    Wu, Q. M. Jonathan
    2016 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV 2016), 2016,
  • [22] User interaction in a multi-view design environment
    Rosch, P
    IEEE SYMPOSIUM ON VISUAL LANGUAGES, PROCEEDINGS, 1996, : 316 - 323
  • [23] Multi-frequency/multi-format architectures for in-building applications
    Cyr, RJ
    WIRELESS TECHNOLOGIES AND SERVICES FOR CELLULAR AND PERSONAL COMMUNICATION SERVICES, 1996, 2602 : 153 - 161
  • [24] Multi-user MIMO systems: The future in the making
    Kurve, Aditya
    IEEE Potentials, 2009, 28 (06): : 37 - 42
  • [25] Multi-view representation learning for multi-view action recognition
    Hao, Tong
    Wu, Dan
    Wang, Qian
    Sun, Jin-Sheng
    JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2017, 48 : 453 - 460
  • [26] MULTI-VIEW METRIC LEARNING FOR MULTI-VIEW VIDEO SUMMARIZATION
    Wang, Linbo
    Fang, Xianyong
    Guo, Yanwen
    Fu, Yanwei
    2016 INTERNATIONAL CONFERENCE ON CYBERWORLDS (CW), 2016, : 179 - 182
  • [27] Implementation of Multi-Format Adaptive Streaming Server
    Fimic, Nemanja
    Tanackovic, Sreten
    Kovacevic, Jelena
    Temerinac, Miodrag
    2015 IEEE 5TH INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - BERLIN (ICCE-BERLIN), 2015, : 218 - 220
  • [28] Turbo multi-user receiver for asynchronous multi-user OFDM systems
    Jung, HJ
    Zoltowski, MD
    2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5: SPEECH PROCESSING, 2005, : 693 - 696
  • [29] TRANSPARENT NETWORKS FOR MULTI-FORMAT OPTICAL COMMUNICATIONS
    STVILLE, LJ
    YOUNG, TP
    GEC JOURNAL OF RESEARCH, 1993, 10 (02): : 67 - 72
  • [30] Multi-user detection with dynamic channel assignment
    Wu, ML
    Fang, WH
    Chen, JT
    IEEE VTC 53RD VEHICULAR TECHNOLOGY CONFERENCE, SPRING 2001, VOLS 1-4, PROCEEDINGS, 2001, : 916 - 920