<--- Back to Details
First PageDocument Content
Ben Shneiderman / Computer science / Technology / Usability / Computer scientist / Universal usability / Maria Klawe / Ambient intelligence / Association for Computing Machinery / Human–computer interaction / Science / Computing
Date: 2011-07-27 15:21:01
Ben Shneiderman
Computer science
Technology
Usability
Computer scientist
Universal usability
Maria Klawe
Ambient intelligence
Association for Computing Machinery
Human–computer interaction
Science
Computing

Viewpoint Maria Klawe and Ben Shneiderman Crisis and Opportunity in Computer Science

Add to Reading List

Source URL: www.cs.umd.edu

Download Document from Source Website

File Size: 62,20 KB

Share Document on Facebook

Similar Documents

Enabling teachers to explore grade patterns to identify individual needs and promote fairer student assessment Sorelle A. Friedler ∗ , Yee Lin Tan, Nir J. Peer, and Ben Shneiderman Department of Computer Science, Unive

Enabling teachers to explore grade patterns to identify individual needs and promote fairer student assessment Sorelle A. Friedler ∗ , Yee Lin Tan, Nir J. Peer, and Ben Shneiderman Department of Computer Science, Unive

DocID: 1tO23 - View Document

Temporal Event Sequence Recommendation A Visual Analytics Approach Fan Du, Catherine Plaisant, Neil Spring, and Ben Shneiderman EVENTACTION Current Record

Temporal Event Sequence Recommendation A Visual Analytics Approach Fan Du, Catherine Plaisant, Neil Spring, and Ben Shneiderman EVENTACTION Current Record

DocID: 1t6I0 - View Document

The Event Quartet: How Visual Analytics Works for Temporal Data Ben Shneiderman Abstract— Francis Anscombe’s Quartet of bi-variate numerical datasets (1973), each with only 12 data points, were hard to interpret in t

The Event Quartet: How Visual Analytics Works for Temporal Data Ben Shneiderman Abstract— Francis Anscombe’s Quartet of bi-variate numerical datasets (1973), each with only 12 data points, were hard to interpret in t

DocID: 1sZmV - View Document

A High-Volume Hypothesis Testing: Systematic Exploration of Event Sequence Comparisons SANA MALIK, University of Maryland, College Park BEN SHNEIDERMAN, University of Maryland, College Park FAN DU, University of Maryland

A High-Volume Hypothesis Testing: Systematic Exploration of Event Sequence Comparisons SANA MALIK, University of Maryland, College Park BEN SHNEIDERMAN, University of Maryland, College Park FAN DU, University of Maryland

DocID: 1sUqm - View Document

The Diversity of Data and Tasks in Event Analytics Catherine Plaisant, Ben Shneiderman Abstract— The growing interest in event analytics has resulted in an array of tools and applications using visual analytics techniq

The Diversity of Data and Tasks in Event Analytics Catherine Plaisant, Ben Shneiderman Abstract— The growing interest in event analytics has resulted in an array of tools and applications using visual analytics techniq

DocID: 1sQzd - View Document