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.
2024
Autodesk Demos Project Reframe at Colombia 4.0, Showcasing Animation InnovationLearn about a Project Reframe presentation and demo in Colombia,…
2014
Sensitivity-optimized Rigging for Example-based Real-time Clothing SynthesisWe present a real time solution for generating detailed clothing…
2011
Considering Multiscale Scenes to Elucidate Problems Encumbering 3D Intellection and NavigationVirtual 3D environments have become pervasive tools in a number of…
2023
Girl Gang Garage’s Volvo Restoration Inspires Next Generation of TechniciansHow Girl Gang Garage uses Fusion 360 for a vehicle mash-up. …
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