Creating an interactive tool that accelerates the learning of annotation instructions
Typ
Examensarbete för masterexamen
Program
Publicerad
2022
Författare
Holmgren, Pontus
Åsblom, Madeleine
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
Machine learning is a rapidly growing industry and plays a crucial role to make autonomous
mobility safe and possible. To create these machine learning models, high-quality annotations are
of great importance. One company that provides this type of data is Omara. The annotation process
is a human-driven process where data is labelled based on objects of interest for that specific
machine learning model. For the annotators to know what and how they should annotate the data,
instructions are required. The communication of these instructions, which today is via PDF files,
is the area of interest in this project.
The goal of this project was to suggest how instructions can be communicated in order to accelerate
the annotators' learning process, and thereby potentially increase the quality of the annotations and
reduce the time needed to produce them. This was conducted by initially executing a user study
where the current situation was analysed, and problems identified. This led to the creation of a list
of requirements which was the foundation for the ideation and creation of concepts for a future
solution. Through theoretical- and user evaluations all but one concept could be filtered out, a web-based UI that facilitates the instructions needed to annotate. The UI helps to meet requirements by,
to name a few of the most important aspects, providing a consistent user experience, an easy
overview of the instructions, and possibilities to easily update. This concept was then refined, and
a high-fidelity prototype in Figma was created.
Beskrivning
Ämne/nyckelord
Annotation instructions, Communicating Instructions, User Interface (UI), User Research, Prototyping