Eye Tracking and Wellness: The Quest for Unobtrusive Biomarkers for Designing Smart Neuro Information Systems
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open in viewerHuman needs are being increasingly addressed by information technologies. As a consequence, market competition has shifted toward developing innovative user experiences. Neuro information systems (NeuroIS) that detect user needs automatically can play a major role in addressing the continual demand for innovative user experiences in today's digital economy. By using sensors that can collect physiological measurements from users, NeuroIS can provide a continuous stream of valuable objective data for detecting user needs in various problem domains. One problem domain that can be addressed by NeuroIS is chronic pain. Chronic pain is a major public health problem that impacts 1 out of 5 American adults. Assessment of chronic pain is often achieved via self-reported scales. Research indicates that identifying measures that can objectively assess chronic pain can improve its effective treatment. Grounded in pain and eye tracking literature, I developed a theory-based eye tracking machine learning (ETML) engine as a proof of concept. Grounded in prior research, I develop a set of visual stimuli and an extensive set of eye tracking features that can be used to detect a person’s chronic pain status from the person’s eye movements. Grounded in user-centered design framework, I also propose and test an iterative process for developing such a NeuroIS (ETML engine) over time as more data becomes available. The results of my project show that the visual stimuli and the eye tracking features that I have developed for designing the ETML can indeed help to build a reliable NeuroIS for detecting chronic pain status. The results of my project also suggest that my proposed iterative process is likely to produce a robust ETML that can predict chronic pain status with 80% accuracy or more.
- Creator
- Colaboradores
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- Unit
- Publisher
- Identifier
- etd-71721
- Palabra Clave
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- Defense date
- Year
- 2022
- Date created
- 2022-08-09
- Resource type
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- etd-71721
- Rights statement
- Última modificación
- 2022-12-09
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Javad_Norouzi_Nia_-_Final_Dissertation_-_Complete.pdf | Público | Descargar |
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