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Papers/Notes: Pixels and Perception

Wednesday, April 14
9:00 AM - 10:30 AM

 Prefab: Implementing Advanced Behaviors Using Pixel-Based Reverse Engineering of Interface Structure
Morgan Dixon, University of Washington, USA
James Fogarty, University of Washington, USA

We present Prefab, a system for implementing advanced behaviors through the reverse engineering of the pixels in graphical interfaces.

GUI Testing Using Computer Vision
Tsung-Hsiang Chang, MIT CSAIL, USA
Tom Yeh, UMIACS & HCIL, University of Maryland, USA
Robert Miller, MIT CSAIL, USA

Presents an approach to automate GUI testing and a test-by-demonstration system to generate test scripts automatically. Can facilitate unit testing, regression testing, and test-driven development for GUI developers and testers.

 Faster Progress Bars: Manipulating Perceived Duration with Visual Augmentations
Chris Harrison, Human-Computer Interaction Institute, Carnegie Mellon University, USA
Zhiquan Yeo, Human-Computer Interaction Institute, Carnegie Mellon University, USA
Scott E. Hudson, Human-Computer Interaction Institute, Carnegie Mellon University, USA

Human perception of time is fluid and can be manipulated in purposeful ways. We evaluate two progress bar graphical variations that alter user's perception of duration, making operations "appear" faster.

Evaluation of Progressive Image Loading Schemes
Chris Harrison, Human-Computer Interaction Institute, Carnegie Mellon University, USA
Anind K. Dey, Human-Computer Interaction Institute, Carnegie Mellon University, USA
Scott E. Hudson, Human-Computer Interaction Institute, Carnegie Mellon University, USA

We present an empirical evaluation of popular progressive image loading methods. Results suggest a spiral variation of bilinear interlacing can yield an improvement in content recognition time.