|
Abstract
|
The error-prone task of programming a VCR is representative of a growing number of end-user programmable devices. To help understand this task a display-based model of VCR programming was developed and implemented as a computational cognitive model. The model accurately predicts the vast majority of correct and error recovery keypresses collected from 9 subjects during 56 successfully programmed shows. The model supports two taxonomies for classifying errors; one at the keypress level, the other at the goal and subgoal level. The taxonomies have descriptive utility and are being used to understand the non-random nature, discovery, recovery of errors in programmable devices.
|
Author Information
|
|
|
