{"title":"Privacy of biofeedback human interfacing devices","authors":"B. P. Beauchamp, L. Corneal, Nabeeh Kandalaft","doi":"10.11591/ijaas.v11.i2.pp146-157","DOIUrl":null,"url":null,"abstract":"The public and governmental focus have been shifted increasingly onto data and privacy due to Facebook’s standoff with Apple and several Nations’ Governments. An imperative for the discussion of data handling has been made, while Biofeedback human interfacing device (HID) companies such as CTRL-labs and Neuralink introduce new risks in the access, use, and control of personal health information. This paper combines the lexicon of digital self-extension with line drawing analysis to help visualize the industry use of personally identifiable information (PII). Through this analysis encapsulation methods of users' PII have been identified such that discussion of encrypting personal health information (PHI) can be facilitated through analogy. To reduce the likelihood that companies generating biometric hardware are subject to future legal action through laws analogous to European Privacy Law, it is in their best interest to be transparent with their users about data sharing, and educate them on how the companies encrypt their PHI. Should users consent to the use of biometric hardware, this process validates the user control of their own PHI.","PeriodicalId":44367,"journal":{"name":"International Journal of Advances in Engineering Sciences and Applied Mathematics","volume":"91 1","pages":""},"PeriodicalIF":1.2000,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Advances in Engineering Sciences and Applied Mathematics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11591/ijaas.v11.i2.pp146-157","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 1
Abstract
The public and governmental focus have been shifted increasingly onto data and privacy due to Facebook’s standoff with Apple and several Nations’ Governments. An imperative for the discussion of data handling has been made, while Biofeedback human interfacing device (HID) companies such as CTRL-labs and Neuralink introduce new risks in the access, use, and control of personal health information. This paper combines the lexicon of digital self-extension with line drawing analysis to help visualize the industry use of personally identifiable information (PII). Through this analysis encapsulation methods of users' PII have been identified such that discussion of encrypting personal health information (PHI) can be facilitated through analogy. To reduce the likelihood that companies generating biometric hardware are subject to future legal action through laws analogous to European Privacy Law, it is in their best interest to be transparent with their users about data sharing, and educate them on how the companies encrypt their PHI. Should users consent to the use of biometric hardware, this process validates the user control of their own PHI.
期刊介绍:
International Journal of Advances in Engineering Sciences and Applied Mathematics will be a thematic journal, where each issue will be dedicated to a specific area of engineering and applied mathematics. The journal will accept original articles and will also publish review article that summarize the state of the art and provide a perspective on areas of current research interest.Articles that contain purely theoretical results are discouraged.