UX / UI For Oak Ridge National Lab

 

I'm foolish and I'm funny and I'm needy. Am I needy? Are you sure I'm not needy? 'Cause I feel needy sometimes. That coat costs more than your house! Look, you are playing adults…with fully formed libidos, not 2 young men playing grab-ass in the shower. You go buy a tape recorder and record yourself for a whole day. I think you'll be surprised at some of your phrasing. Friend of mine from college. He also has a boat tho not called the Seaward.

Workflow impredeading exploration

I'm foolish and I'm funny and I'm needy. Am I needy? Are you sure I'm not needy? 'Cause I feel needy sometimes. That coat costs more than your house! Look, you are playing adults…with fully formed libidos, not 2 young men playing grab-ass in the shower. You go buy a tape recorder and record yourself for a whole day. I think you'll be surprised at some of your phrasing. Friend of mine from college. He also has a boat tho not called the Seaward.

Geography Selection Is Meaningless without Attributes

Selecting the locations for research was listed without any way of knowing if they needed attributes would be available.

Blind Attribute Selection

Choosing attributes was the second blind-step without the user knowing if the data selected will be available for the countries, selected in the previous step.

Time Range Selection

The time range would be selected without any knowledge if the years actually had data.

UX IMPROVEMENTS FROM UI PLACEMENT

I'm foolish and I'm funny and I'm needy. Am I needy? Are you sure I'm not needy? 'Cause I feel needy sometimes. That coat costs more than your house! Look, you are playing adults…with fully formed libidos, not 2 young men playing grab-ass in the shower. You go buy a tape recorder and record yourself for a whole day. I think you'll be surprised at some of your phrasing. Friend of mine from college. He also has a boat tho not called the Seaward.

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Timeline Visualization 

The amount of data per a given year is important to the level-of-certainty of the data results. A % of data for that year is called completeness. Because the data fluctuates per attribute, per year, per country, and timeline element was created so the UI to create a pattern analysis visualization.  

Visualizing data created new insights

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Patterns also help to reveal gaps in data where resources can be deployed

Simple Numeric ID

Year range selection simplified 

Paddle Handles

Small handle shapes indicate

the range can be stretched

Minimum Width

System limitations masked by visual

controls to improve usability

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The 9 selected years are highlighted to provide a higher resolution in large data sets. This UI technique also provided a way identify the selected years without the need to label every year. A big issue with big data.

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