Beyond the 5-User Assumption
How many users? The question still matters. Discover this seminal study by Laura Faulkner, showing what you gain, and what you may lose, by the number of users you choose to test. This work was incorporated into
How many users? The question still matters. Discover this seminal study by Laura Faulkner, showing what you gain, and what you may lose, by the number of users you choose to test. This work was incorporated into
Dissertation - Structured software usability evaluation: An experiment in evaluation design
This in-depth, quantitative study demonstrated how a structured evaluation checklist method of detailed heuristics can bridge new UX practitioners to advanced awareness.
This in-depth, quantitative study demonstrated how a structured evaluation checklist method of detailed heuristics can bridge new UX practitioners to advanced awareness.
Thesis - Software usability: Challenging the Myths and Assumptions in an Emerging Field
Discover the detailed development of the novel Optimal Path Test Method and how the data, Monte Carlo simulation, and results led to the seminal work, Beyond the Five-User Assumption.
Discover the detailed development of the novel Optimal Path Test Method and how the data, Monte Carlo simulation, and results led to the seminal work, Beyond the Five-User Assumption.
Cross-User Analysis: Benefits of Skill-Level Comparison in Usability Testing
A comparative, quantitative approach to qualitative usability data suggests the root cause of a problem and, thereby, its solution.
Abstract. This study presents a cross-user usability test approach and analysis technique that extends beyond merely identifying the existence of a usability problem to introducing an empirical basis for identifying the type of usability problem that exists. For experimental purposes, 60 users were tested with three levels of user-competency determined by experience in using: (1) computers, and (2) the tested application. Applying the Tukey honestly significant difference (HSD) test to each test element provided statistical comparison between different experience levels. Analysis results between experience levels suggested which levels encountered usability problems. The authors demonstrate that statistical calculations of cross-user data can render empirical support for categorizing usability problems.
A comparative, quantitative approach to qualitative usability data suggests the root cause of a problem and, thereby, its solution.
Abstract. This study presents a cross-user usability test approach and analysis technique that extends beyond merely identifying the existence of a usability problem to introducing an empirical basis for identifying the type of usability problem that exists. For experimental purposes, 60 users were tested with three levels of user-competency determined by experience in using: (1) computers, and (2) the tested application. Applying the Tukey honestly significant difference (HSD) test to each test element provided statistical comparison between different experience levels. Analysis results between experience levels suggested which levels encountered usability problems. The authors demonstrate that statistical calculations of cross-user data can render empirical support for categorizing usability problems.