The significance of eye movements and image acceleration for coding television image sequences
Digital images and human vision
A human's eye view: motion blur and frameless rendering
Crossroads - Special issue on computer graphics
The tangled Web we wove: a taskonomy of WWW use
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Information visualization: perception for design
Information visualization: perception for design
Rapid serial visual presentation: a space-time trade-off in information presentation
AVI '00 Proceedings of the working conference on Advanced visual interfaces
Speed-dependent automatic zooming for browsing large documents
UIST '00 Proceedings of the 13th annual ACM symposium on User interface software and technology
The Psychology of Human-Computer Interaction
The Psychology of Human-Computer Interaction
Gaze-enhanced scrolling techniques
CHI '07 Extended Abstracts on Human Factors in Computing Systems
Gaze-enhanced scrolling techniques
Proceedings of the 20th annual ACM symposium on User interface software and technology
Proceedings of the 2nd international conference on Tangible and embedded interaction
Control centric approach in designing scrolling and zooming user interfaces
International Journal of Human-Computer Studies
Semi-automatic zooming for mobile map navigation
Proceedings of the 12th international conference on Human computer interaction with mobile devices and services
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It is becoming increasingly common for user interfaces to use zooming visual effects that automatically adapt to user actions. The MacOs X 'dock' icon panel, for instance, uses a fisheye distortion to assist users in targeting items. Another example is 'speed-dependent automatic zooming', which has been shown to improve scrolling by automatically varying zoom level with scroll speed-when scrolling fast the document is zoomed out, but when scrolling slowly the document is fully zoomed in. When implementing automatic zooming interfaces, designers must calibrate the behaviour of their zooming systems so that the visual effects allow rapid navigation without stressing the human visual system. At present, these calibrations are derived from trial and error. This paper describes an attempt to determine metrics of visual flow to answer the question "how fast is too fast"? Our main focus is on automatic zooming in document scrolling tasks. We performed an experiment to measure participants' preferred and maximum-tolerable scrolling speeds at two different magnifications. We found that magnification affected the length of time that data needed to remain on screen. We also used the data to provide estimations regarding the appropriate calibration of threshold values in speed-dependent automatic zooming systems.