Passive Brain-Computer Interfaces for Non-Medical Applications
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open in viewerPassive brain computer interfaces (BCIs) have commonly been used to measure cognitive workload and focus, but are applicable in many other fields. This dissertation explores a variety of novel fields for BCIs, including STEM education, language acquisition, human-agent interaction, and multitasking. Through my work, I show two BCIs, one for education and one for work, that set the foundation for systems that expand outside of the contexts of cognitive workload and focus. I conducted five studies that show how to detect brain signals related to learning, multitasking, and teamwork with two separate neuroimaging methods, created a novel, browser based BCI, integrated new functionality into an existing BCI, and developed a faster and more accurate tool for finding similarities between brain signals. This dissertation demonstrates the variety of cognitive states that are detectable by portable, non-invasive neuroimaging devices and how they can be applied into everyday environments.
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- etd-106271
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- 2023
- Date created
- 2023-04-27
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- etd-106271
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- Última modificação
- 2023-10-09
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Miniatura | Título | Acesso | Embargo Release Date | Ações |
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Dissertation___foundational_BCI.pdf | Público | Baixar |
Permanent link to this page: https://digital.wpi.edu/show/hd76s351z