Joie: a Joy-based BCI

要旨

The size and cost of electroencephalography (EEG) headsets have been decreasing at a steadfast pace. Cortical frontal activity is a promising input method that is also important for affect regulation. We created Joie, a joy-based EEG brain-computer interface (BCI) which uses prefrontal asymmetries associated with joyful thoughts as input to an endless runner video game. The more prefrontal asymmetries are activated, the more the character collects coins in response. In a lab study (20 participants, 15 training sessions per participant, up to two weeks of training), we found that our experiment group instructed to imagine positive music, winning awards, and similar strategies, demonstrated significantly greater ability in activating asymmetries compared to our placebo and control groups. In our analysis, Joie demonstrates the ability for frontal asymmetries to be used as input to an affective BCI and builds upon prior work in this area. In the future, training these asymmetries can teach mental strategies that have applications in mental health.

著者
Angela Vujic
MIT, Cambridge, Massachusetts, United States
Shreyas Nisal
MIT, Cambridge, Massachusetts, United States
Pattie Maes
MIT Media Lab, Cambridge, Massachusetts, United States
論文URL

https://doi.org/10.1145/3586183.3606761

動画

会議: UIST 2023

ACM Symposium on User Interface Software and Technology

セッション: Sensing Sorcery: Novel Sensing Techniques and Systems

Venetian Room
6 件の発表
2023-11-01 01:00:00
2023-11-01 02:20:00