Who Am I ?

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Who Am I ?

• Jingtao Wang, Assistant Professor in CS and LRDC
  (jingtaow_at_pitt.edu , will become
  jingtaow_at_cs.pitt.edu eventually) Office 5423
  SENSQ
• http//www.cs.pitt.edu/jingtaow
• Ph.D. in Computer Science from UC Berkeley
• Originally from China, worked as a researcher at
  IBM China Research Lab for three years after
  getting M.S. and B.S. degrees from Xian Jiaotong
  University
• Primary research direction - Human Computer
  Interaction (HCI)
• Mobile interfaces, the application of machine
  learning in HCI and education/learning

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Past Projects
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Embodied Visual Exploration of Multidimensional
Scatterplots on Mobile Devices

• Scatterplots is one of the most widely-used
  visual representations for multidimensional data
• Even if we employ 3D graphics, point color,
  shape, and size as graphical properties, a
  standard scatterplot diagram can only visually
  represent a handful of data dimensions at a time.
• It becomes more challenging on mobile devices
  with the limitation of screen size, screen
  resolution and input devices

disc.sci.gsfc.nasa.gov
Source www.moleculardevices.com
www.japanreview.net
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Project Outline

• Using a Scatterplot Matrix Elmqvist 2008 to
  present a global overview of the different
  dimensions and historical navigations of the data
  set
• Using embodied interaction techniques (Yaw,
  pitch, and roll rotations, pinch/zoom) to
  navigate the scatterplot matrix interactively

Elmqvist 2008
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Designing A New Phrase Set for Evaluating Mobile
Text Entry Techniques in the Twitter Age

• Text entry on mobile devices present unique
  challenges to the fields of human computer
  interaction
• Many mobile text entry methods have been invented
  in the past 15 years. To verify the efficacy of a
  new technique, one has to run a typical A vs. B
  style benchmark on a set of test phrases
• The most popular mobile phrase set MacKenzie
  2003, were designed to emulate the
  character/word/di-graph properties of English
  novels. Its becoming less representative/relevan
  t in the Twitter Age