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Interacting with Computers
Volume 18, Issue 2, March 2006, Pages 246-264
 
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doi:10.1016/j.intcom.2005.06.002    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2005 Elsevier B.V. All rights reserved.

Levels of automation and user participation in usability testing

Kent L. Normana, Corresponding Author Contact Information, E-mail The Corresponding Author and Emanuele Panizzib

aDepartment of Psychology, Laboratory for Automation Psychology and Decision Processes, University of Maryland, College Park, USA bDipartimento di Informatica, Universita di Roma La Sapienza, Rome, Italy

Received 20 September 2004; 
revised 8 June 2005; 
accepted 10 June 2005. 
Available online 26 July 2005.

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Abstract

This paper identifies a number of factors involved in current practices of usability testing and presents profiles for three prototype methods: think-aloud, subjective ratings, and history files. We then identify ideal levels to generate the profile for new methods. These methods involve either a human observer or a self-administration of the test by the user. We propose methods of automating the evaluation form by dynamically adding items and modifying the form and the tasks in the process of the usability test. For self-administration of testing, we propose similar ideas of dynamically automating the forms and the tasks. Furthermore, we propose methods of eliciting the user's goals and focus of attention. Finally, we propose that user testing methods and interfaces should be subjected to usability testing.

Keywords: Usability testing; User interface; WWW

Article Outline

1. Introduction
2. Usability testing methods and factors
2.1. User involvement
2.2. Degree of interface object specificity
2.3. Degree of structure
2.4. Knowledge of user's goals and intentions
2.5. Tracking the focus of attention
2.6. Automation
2.7. Number of participants
2.8. Presence of observer
2.9. Other related factors
3. New mixes of usability methods
3.1. User involvement
3.2. Object specificity
3.3. Evaluation structure
3.4. Knowledge of user's goals
3.5. Knowledge of user's focus of attention
3.6. Level of automation
3.7. Number of participants
3.8. Observer
4. Implementation
4.1. Methods involving a human observer/administrator
4.1.1. Observation records
4.1.2. Adaptive task selection
4.2. Methods involving the user
4.2.1. Self reporting of events and subjective assessments
4.2.2. Dynamic and self reported user tasks
4.2.3. Mouse tracking as a proxy for eye tracking
5. Conclusion
Acknowledgements
References








 
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