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.
2025
Experiential space analysis: scoring tranquil, social, and explorative places in habitable buildingsA framework using spatial analysis to score the tranquil, social, and…
2019
Occupancy Visualization towards Activity RecognitionWe present a sensor visualization system that integrates data streams…
2010
Making Shapes from Modules by MagnificationWe present a distributed algorithm for creating a modular shape by…
2006
Performing Incremental Bayesian Inference by Dynamic Model CountingThe ability to update the structure of a Bayesian network when new…
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