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Accessibility and The Potential of Bio-Physiological Systems Measuring Human Magnetic Fields to Inform Technology Devices

Revalee, Jason S.
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1559057599496862

Abstract Details

2019, MDES, University of Cincinnati, Design, Architecture, Art and Planning: Design.
Constructed emotion is a new theory which states that emotions are expressed based on biological signals at the cellular level and the available emotional concepts an individual has to communicate those “feelings”. If the constructed emotion theory is correct, then most of the current systems developed to predict universal emotions are siloed by cultural variability. This challenges the effectiveness and viability of existing operations built around camera scanning facial expressions and body posture for emotional cues. What if there was a system that could measure your valence and affect before it is filtered through cultural reality? During literature review, it was discovered that the sensor we were trying to create had been possible at chip-scale since 2008. The sensor wasn’t the issue. Suppressing much more powerful magnetic fields from ambient sources was the final hurdle left to clear. A theoretical framework was developed for a physical product design, focusing on magnetic field cancellation. Given its potential as a keystone interaction with artificial intelligence, it has a high potential for ubiquity. To the extent that it reduces conscious inputs with technology devices it will be an inherently accessible product, and this products power to expand accessibility will increase exponentially alongside the development of artificial intelligence. A mHealth application for mental health is the perfect starter application for several reasons; 40% of Americans have a mental health disorder at any given moment, and only half of them are receiving treatment. Mental health treatment options are expensive and time-consuming today making them ripe for innovation. The time-locked stimulus that you might expose a user to is the perfect starting point for this product. We interviewed ten psychiatrists in the UC health Stetson clinic and conducted a thematic analysis of that data. The final output will be an algorithm to help process large pools of patient generated data, a visualization to quickly make sense of patient generated data as well as a function to make use of magnetic field data from a subject’s brain. An application to help treat anxiety and depression by leveraging, self-reported patient-generated data in conjunction with patient-generated data from biometric sources like a Fitbit or Magnetic Field Sensor.
Steven Doehler, M.A. (Committee Chair)
Danny T. Y. Wu, PhD (Committee Member)
127 p.
Design
Human Computer Interaction; Magneto Cardiography; Consciousness Electromagnetic Image Theory; Magneto Encephalography; Superconductor Quantum Interference Device; Atomic Magnetometer for Biological Imag

Recommended Citations

Citations

  • Revalee, J. S. (2019). Accessibility and The Potential of Bio-Physiological Systems Measuring Human Magnetic Fields to Inform Technology Devices [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1559057599496862

    APA Style (7th edition)

  • Revalee, Jason. Accessibility and The Potential of Bio-Physiological Systems Measuring Human Magnetic Fields to Inform Technology Devices. 2019. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1559057599496862.

    MLA Style (8th edition)

  • Revalee, Jason. "Accessibility and The Potential of Bio-Physiological Systems Measuring Human Magnetic Fields to Inform Technology Devices." Master's thesis, University of Cincinnati, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1559057599496862

    Chicago Manual of Style (17th edition)

ucin1559057599496862
113
© 2019, some rights reserved.Creative Commons License Accessibility and The Potential of Bio-Physiological Systems Measuring Human Magnetic Fields to Inform Technology Devices by Jason S. Revalee is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by University of Cincinnati and OhioLINK.