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.
2018
Generative Urban Design: Integration of financial and energy design goals in a generative design workflow for residential neighborhood layoutThis paper demonstrates an application of Generative Design to an…
2011
DesignScript: Origins, Explanation, IllustrationDesignScript, as the name suggests, is positioned at the intersection…
2006
Stroke Pattern Analysis and SynthesisWe present a synthesis technique that can automatically generate…
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