Studying Animation for Real-Time Visual Analytics: A Design Study of Social Media Analytics in Emergency Management

被引:9
|
作者
Calderon, Nadya A. [1 ]
Arias-Hernandez, Richard [1 ]
Fisher, Brian [1 ]
机构
[1] Simon Fraser Univ, Burnaby, BC V5A 1S6, Canada
关键词
D O I
10.1109/HICSS.2014.176
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Domains such as emergency management have a need for real-time change monitoring and pattern analysis, but interface design principles for real-time visual analysis situations are still under development. In this paper, we present early results from a design study in social media visual analytics for emergency management. Our motivation is a main information visualization challenge: the lack of clear design principles informed by research in human cognition for the use of animation in real-time streams. We discuss three domain-specific challenges: (1) Coping with the high volume of social media data that is generated during disaster response, (2) analysts' need to quickly extract relevant features for real-time sense-making; and (3) the effective analysis of social media streams even when some critical attributes are absent. This paper presents preliminary results on a research-based design principle for the use of animation in real-time visual analytics, targeted to support the real-time analysis of social media data in emergency management.
引用
收藏
页码:1364 / 1373
页数:10
相关论文
共 50 条
  • [1] Real-time visual feedback: a study in coding analytics
    Seanosky, Jeremie
    Guillot, Isabelle
    Boulanger, David
    Guillot, Rebecca
    Guillot, Claudia
    Kumar, Vivekanandan
    Fraser, Shawn N.
    Kinshuk
    Aljojo, Nahla
    Munshi, Asmaa
    [J]. 2017 IEEE 17TH INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES (ICALT), 2017, : 264 - 266
  • [2] Real-Time Process Analytics in Emergency Healthcare
    Koufi, Vassiliki
    Malamateniou, Flora
    Prentza, Adrianna
    Vassilacopoulos, George
    [J]. INFORMATICS EMPOWERS HEALTHCARE TRANSFORMATION, 2017, 238 : 147 - 150
  • [3] Real-Time Visual Analytics for Text Streams
    Keim, Daniel A.
    Krstajic, Milos
    Rohrdantz, Christian
    Schreck, Tobias
    [J]. COMPUTER, 2013, 46 (07) : 47 - 55
  • [4] Social Media Visual Analytics
    Chen, Siming
    Lin, Lijing
    Yuan, Xiaoru
    [J]. COMPUTER GRAPHICS FORUM, 2017, 36 (03) : 563 - 587
  • [5] Real-time Analytics for Fast Evolving Social Graphs
    Wickramaarachchi, Charith
    Kumbhare, Alok
    Frincu, Marc
    Chelmis, Charalampos
    Prasanna, Viktor K.
    [J]. 2015 15TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND GRID COMPUTING, 2015, : 829 - 834
  • [6] Enabling real-time analytics
    Gonzales, Michael L.
    [J]. DB2 Magazine, 2006, 11 (03): : 21 - 22
  • [7] Analytics for the Real-Time Web
    Grinev, Maxim
    Grineva, Maria
    Hentschel, Martin
    Kossmann, Donald
    [J]. PROCEEDINGS OF THE VLDB ENDOWMENT, 2011, 4 (12): : 1391 - 1394
  • [8] Disaster Management Platform to Support Real-time Analytics
    Wladdimiro, Daniel
    Gonzalez-Cantergiani, Pablo
    Hidalgo, Nicolas
    Rosas, Erika
    [J]. PROCEEDINGS OF THE 2016 3RD INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGIES FOR DISASTER MANAGEMENT (ICT-DM), 2016, : 100 - 107
  • [9] REAL-TIME STREAM DATA ANALYTICS FOR MULTI-PURPOSE SOCIAL MEDIA APPLICATIONS
    Abrol, Satyen
    Rajasekar, Gunasekar
    Khan, Latifur
    Khadilkar, Vaibhav
    Nagarajan, Siddarth
    McDaniel, Nathan
    Ganesh, Gautam
    Thuraisingham, Bhavani
    [J]. 2015 IEEE 16TH INTERNATIONAL CONFERENCE ON INFORMATION REUSE AND INTEGRATION, 2015, : 25 - 30
  • [10] An incremental approach for real-time Big Data visual analytics
    Garcia, Ignacio
    Casado, Ruben
    Bouchachia, Abdelhamid
    [J]. 2016 IEEE 4TH INTERNATIONAL CONFERENCE ON FUTURE INTERNET OF THINGS AND CLOUD WORKSHOPS (FICLOUDW), 2016, : 177 - 182