Publication
A Survey of Software Learnability: Metrics, Methodologies and Guidelines
Abstract
It is well-accepted that learnability is an important aspect of usability, yet there is little agreement as to how learnability should be defined, measured, and evaluated. In this paper, we present a survey of the previous definitions, metrics, and evaluation methodologies which have been used for software learnability. Our survey of evaluation methodologies leads us to a new question-suggestion protocol, which, in a user study, was shown to expose a significantly higher number of learnability issues in comparison to a more traditional think-aloud protocol. Based on the issues identified in our study, we present a classification system of learnability issues, and demonstrate how these categories can lead to guidelines for addressing the associated challenges.
Download publicationRelated Resources
See what’s new.
2026
PrevizWhiz: Combining Rough 3D Scenes and 2D Video to Guide Generative Video PrevisualizationThis research introduces PrevizWhiz, a system that combines rough 3D…
2023
A Time Traveler’s Suitcase: Building Future Readiness to Navigate the UnknownAttend this AU session to help prepare to confront industry…
2012
Swift: Reducing the Effects of Latency in Online Video ScrubbingWe first conduct a study using abstracted video content to measure the…
2019
Design optimization of dynamic flexible multibody systems using the discrete adjoint variable methodThe design space of dynamic multibody systems (MBSs), particularly…
Get in touch
Something pique your interest? Get in touch if you’d like to learn more about Autodesk Research, our projects, people, and potential collaboration opportunities.
Contact us