WallTweet: A Knowledge Ecosystem for Supporting Situation Awareness

We present WallTweet, a tweet visualization designed for wall displays and aimed at improving the situation awareness of users monitoring a crisis event utilizing tweets. Tweets are an important source of information during large-scale events, like tornados or terrorist attacks. Citizens in affected areas are often direct witnesses of the situation, and can be aware of certain details useful to, e.g., news channels and emergency response organizations. Yet, tweets are hard to visualize and put in a geographical context: large quantities of tweets get sent in a short period, that vary greatly in content and relevance with respect to the crisis at hand. Our visualization tool is currently a work in progress: it addresses these challenges by performing a semantic analysis of the tweets' content and displaying them on a ultra-high-resolution wall display. The goal of our tool is to create an inclusive experience that enhances users' situation awareness during a crisis event, by displaying geo-referenced tweets in detail, embedded into the more global geographic context of the event.

[1]  Xiaohua Sun,et al.  Whisper: Tracing the Spatiotemporal Process of Information Diffusion in Real Time , 2012, IEEE Transactions on Visualization and Computer Graphics.

[2]  B. Lindsay Social Media and Disasters: Current Uses, Future Options, and Policy Considerations , 2011 .

[3]  Roman Rädle,et al.  Multi-user Twitter Analysis for Crisis Room Environments , 2013 .

[4]  Chad A. Steed,et al.  Text Stream Trend Analysis using Multiscale Visual Analytics with Applications to Social Media Systems , 2015 .

[5]  Daniel A. Keim,et al.  Visual sentiment analysis on twitter data streams , 2011, 2011 IEEE Conference on Visual Analytics Science and Technology (VAST).

[6]  Olivier Chapuis,et al.  Mid-Air Pointing on Ultra-Walls , 2015, TCHI.

[7]  Ravikiran Vatrapu,et al.  The Social Newsroom: Visual Analytics for Social Business Intelligence - Tool Prototype Demo , 2015, DESRIST.

[8]  Emmanuel Pietriga,et al.  Rapid development of user interfaces on cluster-driven wall displays with jBricks , 2011, EICS '11.

[9]  Xiao Zhang,et al.  SensePlace2: GeoTwitter analytics support for situational awareness , 2011, 2011 IEEE Conference on Visual Analytics Science and Technology (VAST).

[10]  Timothy W. Finin,et al.  Why we twitter: understanding microblogging usage and communities , 2007, WebKDD/SNA-KDD '07.

[11]  Axel Platz,et al.  Can twitter really save your life? A case study of visual social media analytics for situation awareness , 2015, 2015 IEEE Pacific Visualization Symposium (PacificVis).

[12]  Mengchen Liu,et al.  A survey on information visualization: recent advances and challenges , 2014, The Visual Computer.

[13]  M. Sheelagh T. Carpendale,et al.  A Visual Backchannel for Large-Scale Events , 2010, IEEE Transactions on Visualization and Computer Graphics.

[14]  Alan J. Thomson,et al.  A knowledge ecosystem perspective on development of web-based technologies in support of sustainable forestry , 2007 .

[15]  Maribel Yasmina Santos,et al.  Concave hull: A k-nearest neighbours approach for the computation of the region occupied by a set of points , 2007, GRAPP.

[16]  Chris North,et al.  Move to improve: promoting physical navigation to increase user performance with large displays , 2007, CHI.

[17]  Paloma Díaz,et al.  Semantic Visualization of Twitter Usage in Emergency and Crisis Situations , 2015, ISCRAM-med.