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| 9.09 MB | Adobe PDF |
Autores
Orientador(es)
Resumo(s)
Metadata is indispensable for data discoverability and interoperability. Most
datasets utilize automatic techniques to create metadata; nevertheless, metadata
creation still requires manual interventions and editions, yet manually metadata
creation is a tedious task. The study proposes a prototype that introduces
speech recognition in the metadata creation process. Users can generate content
by speaking. Afterward, the prototype transforms it into metadata with
JSON-LD format, a popular metadata format and utilized by mainstream
search engines. A user study was conducted to understand the impact of
speech-based interaction on user performance and user satisfaction. The result
showed no signi cant performance di erence between speech-based and typebased
by the e ciency, slip rate, and di culty rating evaluation. In the user
experience evaluation, participants consider the type-based metadata creation
is pragmatic, and speech-based metadata creation is hedonic. It suggests
that the mix-mode can complement mutually with the advantages of each
and optimize the user experience.
Descrição
Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies
Palavras-chave
Metadata Creation Schema.org Speech Recognition
