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
Make-A-Shape: a Ten-Million-scale 3D Shape ModelTrained on 10 million 3D shapes, our model exhibits the capability to…
2023
Revolutionizing Water Management – Part TwoExploring RL techniques for water distribution, part two…
2012
Learning Hatching for Pen-and-Ink Illustration of SurfacesThis paper presents an algorithm for learning hatching styles from…
2014
Towards Visualization of Simulated Occupants and their Interactions with Buildings at Multiple Time ScalesWhile most building simulation tools model occupancy using simple…
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