Designing and Evaluating the Usability of a Machine Learning API for Rapid Prototyping Music Technology.

ABSTRACT: To better support creative software developers and music technologists' needs, and to empower them as machine learning users and innovators, the usability of and developer experience with machine learning tools must be considered and better understood. We review background research on the design and evaluation of application programming interfaces (APIs), with a focus on the domain of machine learning for music technology software development. We present the design rationale for the RAPID-MIX API, an easy-to-use API for rapid prototyping with interactive machine learning, and a usability evaluation study with software developers of music technology. A cognitive dimensions questionnaire was designed and delivered to a group of 12 participants who used the RAPID-MIX API in their software pro

SUBMITTER: Bernardo F 

PROVIDER: S-EPMC7861239 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature