Table Lens Paper – The Table Lens: Merging Graphical and Symbolic Representations in an Interactive Focus + Context Visualization for Tabular Information.

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Table Lens Paper – The Table Lens: Merging Graphical and Symbolic Representations in an Interactive Focus + Context Visualization for Tabular Information (Ramana Rao and Stuart K. Card) Tool – Eureka by Insight.com Presenter – Harsha K Rajasimha Discusser – Vishal Nakra Reader – You !!!

The Agenda Overview First – The Underlying Concepts – Demonstration of the tool with sample data Zoom in and filter – Describe/Critique Study and Conclusions – Strengths – Weaknesses – Comparison and future suggestions – User Tasks, Scale and HCI Metrics Details on demand – Discussion

Underlying Concepts “Focus+Context” or “Fisheye” technique – “Regularity Of Content” Table Lens - A magnifying glass without distortion Context Focus – Focal, Row focal, column focal, non- focal (Entire cells and no fragments) – focal data is textual – nonfocal data is graphical

Terms and Concepts (Contd…)

Degree Of Interest (DOI) Maps from an item to a value that indicates the level of interest in the item. Zoom DOI Adjust DOI Slide DOI

You Fool !!! Show Me The DATA !!!

Lets move to demo !!!

Demo Demo 6 Factors – affect presentation type and usage – Value – Value type – Region type – Cell Size – User Choices – Spotlighting

Critique Strengths – Supports Effective interaction with very large tables – Merges graphical representations directly into the process of table visualization and manipulation Economical display of cell values Ease of spotting/filtering patterns and features – Good for tabular and proportional data – Examining data for trends and relationships Weaknesses – Not applicable to non-tabular data – Better ways of displaying textual values – Data entry – Large number of Attributes

Comparison and Future Comparison – MS Excel – Can display 100 times more cells – A magnifying glass without distortion – A view of entire data on the screen – Easy to learn and use – Increased information density How might it be improved ? – New ways of handling textual data – Add more focal levels – Allowing user input of records – Efficient ways of handling large number of attributes

HCI Metrics User Performance - **** Learnability – ***** Error Rate - ***** User Satisfaction - **** Retention - ?????