2007Journal of Usability Studies archiveRequires access

A structured process for transforming usability data into usability information

Jonathan R. Howarth, Terence S. Andre, Rex Hartson

Open publisher page 30 citations

Abstract

Much research has been devoted to developing usability evaluation methods that are used in evaluating interaction designs. More recently, however, research has shifted away from evaluation methods and comparisons of evaluation methods to issues of how to use the raw usability data generated by these methods. Associated with this focus is the assumption that the transformation of the raw usability data into usability information is relatively straightforward. We would argue that this assumption is incorrect, especially for novice usability practitioners. In this article, we present a structured process for transforming raw usability data into usability information that is based on a new way of thinking about usability problem data. The results of a study of this structured process indicate that it helps improve the effectiveness of novice usability practitioners.

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What this paper is about

Much research has been devoted to developing usability evaluation methods that are used in evaluating interaction designs. More recently, however, research has shifted away from evaluation methods and comparisons of evaluation methods to issues of how to use the raw usability data generated by these methods. Associated with this focus is the assumption that the transformation of the raw usability data into usability information is relatively straightforward. We would argue that this assumption is incorrect, especially for novice usability practitioners. In this article, we present a structured process for transforming raw usability data into usability information that is based on a new way of thinking about usability problem data. The results of a study of this structured process indicate that it helps improve the effectiveness of novice usability practitioners.

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OpenAlex reports 30 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Much research has been devoted to developing usability evaluation methods that are used in evaluating interaction designs. More recently, however, research has shifted away from evaluation methods and comparisons of evaluation methods to issues of how to use the raw usability data generated by these methods. Associated with this focus is the assumption that the transformation of the raw usability data into usability information is relatively straightforward. We would argue that this assumption is incorrect, especially for novice usability practitioners. In this article, we present a structured process for transforming raw usability data into usability information that is based on a new way of thinking about usability problem data. The results of a study of this structured process indicate that it helps improve the effectiveness of novice usability practitioners.

Key concepts: Usability, Usability engineering, Web usability, Computer science, Usability goals, Usability lab, Cognitive walkthrough, Usability inspection

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