|
| ||
course participants course announcements about this wiki questionnaires and assignments slides of presentations course schedule related resources Gerhard Fischer Hal Eden Mohammad Al-Mutawa Ashok Basawapatna Lee Becker Jinho Daniel Choi Guy Cobb Holger Dick Nwanua Elumeze Soumya Ghosh David Gnabasik Rhonda Hoenigman #1 Dan Knights Kyu Han Koh Jeffrey Steven La Marche Yu-Li Liang Paul David Marshall Keith Maull Jane Kathryn Meyers John Michalakes Michael Wilson Otte Saroch Panichsakul Joel Pfeiffer Caleb Timothy Phillips Dola Saha Shumin Wu |
Ben Schneiderman Schneiderman presented the problem of humans being inundated with data, and then presented a solution. In society and business today, frequently we are using large datasets of information. The problem occurs when we try and represent that in an understandable fashion. Most of us would agree that a table with a million entries is not a good method to display the information, so how should we represent it while being able to retain the details when they are needed? Schneiderman introduced three main concepts for a successful human interface: rapid, incremental, and reversible. Rapid puts the data in an easy to understand way: a viewer can quickly understand trends that are found in the information. Then incremental allows a user to analyze a piece of the information; get down to all the detail that would have been too much information to notice general trends. Reversible simply allows a user to undo a change they just made. Last modified 26 November 2007 at 10:34 am by joelpfeiffer |