ABSTRACT
In response to recent criticism of the usefulness of the construct of usability, we investigated the relationships between measures of perceived usability and the components of a modified version of the Technology Acceptance Model (mTAM) – Perceived Usefulness (PU) and Perceived Ease-of-Use (PEU). In three surveys, respondents used SUS, UMUX-LITE and mTAM to rate their actual (as opposed to expected) experience with three software products. As expected, the correlations between PEU and other measures of perceived usability tended to be significantly stronger than those with PU. Additional findings support the use of the UMUX-LITE as a compact measure of perceived usability that has a strong relationship to the mTAM and strong correspondence with concurrently collected SUS scores. The main theoretical result of this research were regression results providing evidence that the PEU component of the mTAM appears to be another measure of the construct of perceived usability, connecting the TAM to the construct of perceived usability through the mTAM and providing evidence against the claim that the construct of usability is a theoretical dead end.
Additional information
Notes on contributors
Urška Lah
Urška Lah is a PhD student of informatics at the University of Maribor, Faculty of Electrical Engineering and Computer Science (Diploma in informatics, 2009), and an information systems developer in EMO-Orodjarna’s information and communications technology department. Her research interest is human-computer interaction.
James R. Lewis
James R. Lewis is a distinguished user experience researcher at MeasuringU, an IBM Master Inventor emeritus (over 90 patents), and the author of Practical Speech User Interface Design and (with Jeff Sauro), Quantifying the User Experience.
Boštjan Šumak
Boštjan Šumak is an assistant professor and researcher at the University of Maribor, Faculty of Electrical Engineering and Computer Science (PhD, 2011), with over 18 years of experience in research and teaching at the institution. His research interests include human-computer interaction, user experience, brain-computer interfaces, and information technology acceptance.