A predictive method to measure relative effectiveness

This source preferred by Nan Jiang

Authors: Jiang, N.

Editors: Anderson, M.

Start date: 15 April 2013

Journal: Contemporary Ergonomics and Human Factors

Pages: 43-50

Publisher: Taylor & Francis

ISBN: 978-1-138-00042-1

This data was imported from Scopus:

Authors: Jiang, N.

Journal: Contemporary Ergonomics and Human Factors 2013

Pages: 43-50

ISBN: 9781138000421

Errors and completion are two widely used metrics for measuring the effectiveness of a system in usability testing. Since the two measures focus on different aspects of user output, a holistic view of "effectiveness" is sometimes hard to establish in a comparative studywhich eventually affects understanding different systems' relative effectiveness. The paper proposes a predictive method using an adapted confusion matrix to establish a correlation model to measure a system's relative effectiveness based on its own performance prediction. A case study is also provided to demonstrate how to use this method in real-world practice.

This data was imported from Web of Science (Lite):

Authors: Jiang, N.

Journal: CONTEMPORARY ERGONOMICS AND HUMAN FACTORS 2013

Pages: 43-50

ISBN: 978-1-138-00042-1

The data on this page was last updated at 04:53 on April 22, 2019.