Data Visualization on Mobile Devices

As mobile visualization is increasingly used and new mobile device form factors and hardware capabilities continuously emerge, it is timely to reflect on what has been discovered to date and to look into the future. This workshop will bring together researchers, designers, and practitioners from relevant application and research fields, including visualization, personal informatics, and data journalism. We will work on identifying a research agenda for mobile data visualization as well as to collect and propagate practical guidance for mobile visualization design. Our overarching goal is to bring us closer to making an effective use of ubiquitous mobile devices as data visualization platforms.

[1]  Wanda Pratt,et al.  SleepTight: low-burden, self-monitoring technology for capturing and reflecting on sleep behaviors , 2015, UbiComp.

[2]  Benjamin Watson,et al.  Emerging Research in Mobile Visualization , 2015, MobileHCI Adjunct.

[3]  Ricardo Langner,et al.  Investigating the Use of Spatial Interaction for 3D Data Visualization on Mobile Devices , 2017, ISS.

[4]  Young-Ho Kim,et al.  OmniTrack: A Flexible Self-Tracking Approach Leveraging Semi-Automated Tracking , 2017, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..

[5]  Bongshin Lee,et al.  TouchPivot: Blending WIMP & Post-WIMP Interfaces for Data Exploration on Tablet Devices , 2017, CHI.

[6]  M. Sheelagh T. Carpendale,et al.  TouchWave: kinetic multi-touch manipulation for hierarchical stacked graphs , 2012, ITS.

[7]  John T. Stasko,et al.  Expanding Selection for Information Visualization Systems on Tablet Devices , 2016, ISS.

[8]  Raimund Dachselt,et al.  GraSp: Combining Spatially‐aware Mobile Devices and a Display Wall for Graph Visualization and Interaction , 2017, Comput. Graph. Forum.

[9]  Sean A. Munson,et al.  When (ish) is My Bus?: User-centered Visualizations of Uncertainty in Everyday, Mobile Predictive Systems , 2016, CHI.

[10]  Jennifer Pearson,et al.  ConCap: Designing to Empower Individual Reflection on Chronic Conditions using Mobile Apps , 2015, MobileHCI.

[11]  Edward R. Tufte,et al.  The Visual Display of Quantitative Information , 1986 .

[12]  Bongshin Lee,et al.  WordlePlus: Expanding Wordle's Use through Natural Interaction and Animation , 2015, IEEE Computer Graphics and Applications.

[13]  Monica M. C. Schraefel,et al.  TouchViz: a case study comparing two interfaces for data analytics on tablets , 2013, CHI.

[14]  Ricardo Langner,et al.  VisTiles: Coordinating and Combining Co-located Mobile Devices for Visual Data Exploration , 2018, IEEE Transactions on Visualization and Computer Graphics.