Bonnie E. John

Carnegie Mellon University
Human-Computer Interaction Institute
5000 Forbes Avenue
Pittsburgh, PA 15213

Office: 3521 Newell-Simon Hall

Voice:(412) 268-7182
Support staff:(412) 268-7099

E mail:

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SymbSys246 Cognitive Crash Dummies

Winter 2007

The reading for Jan 30th 2007 is:

Automatic generation and usability: Generating automated predictions of behavior strategically adapted to specific performance objectives

Katherine Eng, Richard L. Lewis, Irene Tollinger, Alina Chu, Andrew Howes, Alonso Vera
Proceedings of the SIGCHI conference on Human Factors in computing systems CHI '06, ACM Press


New version of CogTool for which menus produce a correct model can be downloaded now.

Also available is a zip file from Jan 23, 2007 which includes

  • Example homework solution done by Bonnie
  • Slides from Tuesday night lecture


Materials from the first session Tuesday Jan 16.
The download is a zip file that includes:

  • Slides from the introductory lecture and a reading
  • The CogTool software for both Mac and PC
  • A CogTool Tutorial, which the students did during the first session, and a folder of supporting images (this historically takes less than an hour)
  • A homework assignment and a folder of supporting images, which you should do before coming to class (this historically takes less than an hour after you've done the tutorial)
  • The CogTool User Guide that is much more comprehensive than the Tutorial and is necessary for doing the homework


Contact information while I am at Stanford
I am reading my cmu email regularly, so just use that account.
Office: Blg 460, Rm 040E
Office Phone: 650-723-1535


Stanford, Winter 2007

SymbSys246 Cognitive Crash Dummies

Tuesdays (Jan. 16 - Feb. 13), 7-9 pm, location Blg 50, Rm 51p
A for-credit course for students at Stanford and Carnegie Mellon West
Can be taken for a letter grade or as Pass/No Credit

Crash dummies in the auto industry save lives by testing the physical safety of automobiles before they are brought to market. “Cognitive crash dummies” save time, money, and potentially even lives, by allowing computer-based system designers to test their design ideas before implementing those ideas in products and processes. This course will review the state of the art of perceptual, cognitive and motor modeling for assessing designs before building working systems. This course will include reading breaking research in predicting different aspects of human performance and building models in established modeling frameworks.


Last modified on Jan 17, 2007 by