论文信息 - E-Tables: Non-Specialist Use and Understanding of Statistical Data

E-Tables: Non-Specialist Use and Understanding of Statistical Data

This paper provides a progress report on a project that aims to understand how people think about and understand statistical data presented in tables. The focus is on people who are not statistical specialists. To this end, studies of various user populations were conducted, underlying data enrichment and explanation was investigated, and interactive user interface prototypes were developed and tested.

Gary Marchionini | Ben Shneiderman | Carol A. Hert | Liz Liddy

[1] Elizabeth D. Liddy,et al. An NLP Approach for Improving Access to Statistical Information for the Masses , 2001 .

[2] Ben Shneiderman,et al. Design and evaluation of incremental data structures and algorithms for dynamic query interfaces , 1997, Proceedings of VIZ '97: Visualization Conference, Information Visualization Symposium and Parallel Rendering Symposium.

[3] Gary Marchionini,et al. Information Seeking Behavior on Statistical Websites: Theoretical and Design Implications , 1998 .

[4] Gary Marchionini,et al. An Architecture and Prototype Interface for an Online Statistical Table Browser , 2001 .

[5] Airong Xu,et al. Eye tracking study on identifying and analyzing user behavior - eye movements, eye fixation duration and patterns - when processing numeric table data in paper or PDF format , 2000 .

[6] Gary Marchionini,et al. Extending understanding of federal statistics in tables , 2000, CUU '00.