Close menu

SURE

Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

The impact of Thinking-Aloud on usability inspection

Mcdonald, Sharon, Cockton, Gilbert and Irons, Alastair (2020) The impact of Thinking-Aloud on usability inspection. Proceedings of the ACM on Human-Computer Interaction, 4 (88). pp. 1-21. ISSN 2573-0142

Item Type: Article

Abstract

This study compared the results of a usability inspection conducted under two separate conditions: An explicit concurrent think-aloud that required explanations and silent working. 12 student analysts inspected two travel websites thinking-aloud and working in silence to produce a set of problem predictions. Overall, the silent working condition produced more initial predictions, but the think-aloud condition yielded a greater proportion of accurate predictions as revealed by falsification testing. The analysts used a range of problem discovery methods with system searching being favoured by the silent working condition and the more active, goal playing discovery method in the think-aloud condition. Thinking-aloud was also associated with a broader spread of knowledge resources.

[img] Microsoft Word
The impact of Thinking-Aloud.docx - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (323kB)
[img] PDF (Administrator use only)
12065.pdf - Published Version
Restricted to Repository staff only

Download (1MB)

More Information

Depositing User: Leah Maughan

Identifiers

Item ID: 12065
Identification Number: https://doi.org/10.1145/3397876
ISSN: 2573-0142
URI: http://sure.sunderland.ac.uk/id/eprint/12065
Official URL: https://dl.acm.org/doi/10.1145/3397876

Users with ORCIDS

ORCID for Alastair Irons: ORCID iD orcid.org/0000-0002-5174-6596

Catalogue record

Date Deposited: 22 May 2020 14:11
Last Modified: 27 Jan 2021 16:30

Contributors

Author: Alastair Irons ORCID iD
Author: Sharon Mcdonald
Author: Gilbert Cockton

University Divisions

Faculty of Technology > School of Computer Science

Actions (login required)

View Item View Item