Predicting user performance and errors: automated usability evaluation through computational introspection of model-based user interfaces

摘要

This book focuses on the important and interesting topic of automatic usability evaluation, which has cost-saving potential for designing, deploying, and maintaining applications. This topic, especially automation, is even more relevant in the multi-target world of applications because current applications should work on several kinds of devices (not just on one) with various form factors and interaction paradigms. The proposed automatic usability evaluation predicts user performance (time to complete a task) and user errors. For this purpose, it employs models of cognition and human error, and models of user interfaces to simulate user behavior while using the evaluated application.