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Graphics, Visualization & Usability
Center
Distinguished Lecture Series


presents


David Kieras
University of Michigan

Thursday, January 7, 1993, 12:00 noon
Room 102, Pettit Building
(Microelectronics Research Center)



Analytic Models for User Interface Design

Abstract

The conventional approach to evaluating the usability of a system relies
on empirical testing Q having a sample of users complete tasks using the
system.  While effective, such testing in slow and expensive, and the
lessons learned can not be easily applied to new designs.  A partial
solution to these limitations is analytic models, which predict 
aspects of usability such as learning time, consistency and execution
time based on psychological theory and a description of the task.
The talk will overview some work on these models and show how they 
lead to an engineering approach to the cognitive human factors of
systems design.



Short Bio

David Kieras received his PhD in General Experimental Pschology at the
University of Michigan in 1974, and held a post-doctoral fellowship at
Carnegie-Mellon University from 1974-1976 where he began his work
with computational models for reading comprehension of technical text.
He then joined the Psychology Department at the University of Arizona,
where in collaboration with Peter Polson at the University of Colorado,
he began working on computational models for human-computer interaction.
In 1984 he moved to the University of Michigan and is currently joint-
appointed in the Technical Communication Program and the Computer
Science Department.