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Solve the problem of information overload with our solution that manages information density, decreases cluttering, and retrieves information as needed. Watch our video to learn more.
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A Human Eye Approach to Information Display Ahmed Sidky, Alex Kalita, Ming Luo, Qiang Yu, Vishal Nakra
Presentation Roadmap • The Problem • Our Solution • Managing Information Density • Decrease Cluttering • Retrieve Information as needed • Video • Implementation • Pros and Cons • Our Contribution • Future Work • Conclusion
Supposed to be here somewhere How fast can you find Burger King?
We Can Solve the Problem Our Solution : What you see is what you need !!! Our Approach • Manage Information Density • Decrease Cluttering • Retrieve Information as needed
Manage Information Density Human Eye View • Focal AreaShow the Details + Show Overview • Focal Border Area Fade the Details + Show Overview • Peripheral AreaHide the Details + Show Overview
Decrease Cluttering(Chainsaw Approach) Overview No road Labels
First Zoom Level Main Road Labels Decrease Cluttering(Chainsaw Approach)
Decrease Cluttering(Chainsaw Approach) Second Zoom levelSecondary Roads
Decrease Cluttering(Chainsaw Approach) Further Zoom Secondary Roads and Information
Decrease Cluttering(Chainsaw Approach) Semantic Zoom Amount of Detail shown depends on level of zoom Eliminates need to show all data at once Shows Information that is appropriate for user interest
Retrieve Information as needed Information on Demand • Gazing – Time Controlled • Hardware button • Display doesn’t interrupt user’s browsing
Checkpoint … • The Problem • Our Solution • Managing Information Density • Decrease Cluttering • Retrieve Information as needed • Video • Implementation • Pros and Cons • Our Contribution • Future Work • Conclusion
How did we do this • CAVE vs. PC vs. Workbench • D.I.V.E.R.S.E • Head tracker vs. Eye Tracker • Software Issue • Color coding • Roads and for Summaries
Pros and Cons • Pros: • Reduces Clutter • Easy to get details about something (just look) • No distortion (compared to e.g. fisheye) • Cons: • Restaurant icons occlude part of the map • Road labels sometimes jump around (implementation issue) • 3D navigation with the CAVE wand can be confusing
Future Work • Integrating the Eye Tracker with the head tracker • Testing with larger maps • Additional Zoom Levels – Buildings • Mathematically defining focus and periphery areas • Conduct experimentation to test how effective our approach is • Indicate when a place of interest is selected
Our Contribution to HCI • Controlling information density relative to the area of focus of the user • Simulate the functionality of the Human eye • Using Head tracker to control the focus
AcknowledgementsFrom the CAVE-Man This is the guy we have to thank. Now we know where the idea came from !!! …… Thanks a lot Dr. North Human Eye Team
Discussion Fish eye or Human eye ? What do you think ? Any Additional Work to be done ?