Demonstration of Joie: A Joy-based Brain-Computer Interface (BCI) with Wearable Skin Conformal Polymer Electrodes
Author(s)
Vujic, Angela; Martin, Ashley; Nisal, Shreyas; Mohammed, Manaal; Maes, Pattie
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We designed Joie, a joy-based electroencephalography (EEG) brain-computer interface (BCI). Users interact with Joie by imagining joyous thoughts and images that alter their prefrontal EEG asymmetries. These asymmetries control their character’s movement in an endless runner video game, where joyous thoughts cause left prefrontal asymmetry that leads to receiving a reward. In this demonstration, we present Joie with a wearable, dry skin conformal polymer electrode EEG headband. We conducted a pilot evaluation (11 participants, 3 training sessions per participant) to assess neurofeedback efficacy and workload. We observed that our participants were able to perform relative left activation significantly greater than right activation and create single-session improvements in resting baseline asymmetry. We also report on perceived user demand, effort and performance.
Description
The 36th Annual ACM Symposium on User Interface Software and Technology (UIST ’23
Adjunct), October 29–November 01, 2023.
Date issued
2023-10-29Department
Massachusetts Institute of Technology. Media LaboratoryPublisher
ACM|The 36th Annual ACM Symposium on User Interface Software and Technology
ISBN
979-8-4007-0096-5