Mobile EEG Devices: Group Interactions, Privacy and the Brain (2020-2021)
Consumer-based electroencephalograph (EEG) devices are marketed and sold to consumers for tracking and improving their brain activity through neurofeedback. While the validity of these devices for academic research is becoming clear, there are unique privacy and data sharing concerns because of their ability to gather and decode real-time brain activity in everyday contexts such as education, employment, gaming and fitness.
Building on previous research, this project team explored the privacy implications of the use of brain data, along with consumer attitudes, behavior and judgments about brain data and brain analytics. Team members analyzed previously collected data and drafted an article exploring the results of a nationwide survey regarding how sensitive the public views their so-called “brain data” and the need for increased public involvement in the regulation of such information.
Timing
Fall 2020 – Spring 2021
Team Outputs
Team-autothored rticle on public perception of “brain data” privacy (forthcoming)
This Team in the News
See earlier related team, Consumer EEG Devices: Attention, Emotion, Privacy and the Brain (2019-2020).
Image: Duke Science & Society
Team Leaders
- Nita Farahany, Duke Law|Arts & Sciences-Philosophy
- William Krenzer, Science & Society
- Dylan Stonecipher, Science & Society
/undergraduate Team Members
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/undergraduate
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Tolulemi Gbile, Interdepartmental
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Melinda Guo, Interdepartmental Major
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Shikhar Gupta, Neuroscience (BS)
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Shenyang Huang, Neuroscience (BS)
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Allison Kunstler, Public Policy Studies (AB)
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Umika Paul, Electrical & Computer Egr(BSE)
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Sophie Sepehri, Neuroscience (BS)
/yfaculty/staff Team Members
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Donald Beskind, Duke Law
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Guillermo Sapiro, Pratt School of Engineering-Electrical & Computer Engineering