Table Lens l l l Paper The Table
Table Lens l l l 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 l Overview First – The Underlying Concepts – Demonstration of the tool with sample data l Zoom in and filter – – – l Describe/Critique Study and Conclusions Strengths Weaknesses Comparison and future suggestions User Tasks, Scale and HCI Metrics Details on demand – Discussion
Underlying Concepts l “Focus+Context” – or “Fisheye” technique “Regularity Of Content” l Table l Lens - A magnifying glass without distortion l Context l Focus – Focal, Row focal, column focal, nonfocal (Entire cells and no fragments) – focal data is textual – nonfocal data is graphical
Terms and Concepts (Contd…)
Degree Of Interest (DOI) l Maps from an item to a value that indicates the level of interest in the item. DOI DOI Zoom Adjust Slide
You Fool !!! Show Me The DATA !!!
Lets move to demo !!!
Demo l 6 Factors – affect presentation type and usage l – – – Value type Region type Cell Size User Choices Spotlighting
Critique l 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 l Ease of spotting/filtering patterns and features l Good for tabular and proportional data – Examining data for trends and relationships – l Weaknesses Not applicable to non-tabular data – Better ways of displaying textual values – Data entry – Large number of Attributes –
Comparison and Future l Comparison – – – l 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 l User Performance - **** l Learnability – ***** l Error Rate - ***** l User Satisfaction - **** l Retention - ? ? ?
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