Augmented intelligence with voice assistance and automated machine learning in Industry 5.0.
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ABSTRACT: Augmented intelligence puts together human and artificial agents to create a socio-technological system, so that they co-evolve by learning and optimizing decisions through intuitive interfaces, such as conversational, voice-enabled interfaces. However, existing research works on voice assistants relies on knowledge management and simulation methods instead of data-driven algorithms. In addition, practical application and evaluation in real-life scenarios are scarce and limited in scope. In this paper, we propose the integration of voice assistance technology with Automated Machine Learning (AutoML) in order to enable the realization of the augmented intelligence paradigm in the context of Industry 5.0. In this way, the user is able to interact with the assistant through Speech-To-Text (ST
SUBMITTER: Bousdekis A
PROVIDER: S-EPMC11913813 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature
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