A Human Eye Approach to Information Display

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A Human Eye Approach to Information Display

• Ahmed Sidky, Alex Kalita, Ming Luo, Qiang Yu,
  Vishal Nakra

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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

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How fast can you find Burger King?
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Supposed to be here somewhere
How fast can you find Burger King?
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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

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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

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Decrease Cluttering(Chainsaw Approach)

• Overview No road Labels

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Decrease Cluttering(Chainsaw Approach)

• First Zoom Level
• Main Road Labels

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Decrease Cluttering(Chainsaw Approach)
Second Zoom levelSecondary Roads
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Decrease Cluttering(Chainsaw Approach)
Further Zoom Secondary Roads and
Information
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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
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Retrieve Information as needed

• Information on Demand
• Gazing Time Controlled
• Hardware button
• Display doesnt interrupt users browsing

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Checkpoint

• The Problem ?
• Our Solution ?
• Managing Information Density ?
• Decrease Cluttering ?
• Retrieve Information as needed ?
• Video
• Implementation
• Pros and Cons
• Our Contribution
• Future Work
• Conclusion

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Lets watch !!!
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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

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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

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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

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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

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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
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Discussion

• Fish eye or Human eye ?
• What do you think ?
• Any Additional Work to be done ?