Classification of Targets and Distractors in an Audiovisual Attention Task Based on Electroencephalography
Steven Mortier, Renata Turkeš, Jorg De Winne, Wannes Van Ransbeeck, Dick Botteldooren, Paul Devos, Steven Latré, Marc Leman, Tim Verdonck, Peter Rogelj · 2023
Read Classification of Targets and Distractors in an Audiovisual Attention Task Based on Electroencephalography by Steven Mortier, Renata Turkeš, Jorg De Winne, Wannes Van Ransbeeck, Dick Botteldooren, Paul Devos, Steven Latré, Marc Leman, Tim Verdonck, Peter Rogelj (2023) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-10708631.txt.
Description
The authors (2023) tested whether brain waves reveal what a person is paying attention to. Their experiment, modeled on the pip-and-pop effect, asked whether sound and rhythm help visual targets stand out from a stream. Volunteers watched and listened while electrodes recorded their brain activity. Machine learning models then tried to sort target moments from distractor moments using the recordings alone. Models were built both per person and across people, and both worked.
Accuracy reached up to 76 percent. Saliency maps showed where the models looked: electrodes over the back of the head, between 200 and 300 milliseconds after each stimulus. That timing and location match earlier attention research. The authors say the results support better brain-computer interfaces built on the P300 signal. They also validate the data their new task produces, a step toward interfaces that follow a user's focus in busy audiovisual settings.
Catalog record
| CREATOR | Steven Mortier, Renata Turkeš, Jorg De Winne, Wannes Van Ransbeeck, Dick Botteldooren, Paul Devos, Steven Latré, Marc Leman, Tim Verdonck, Peter Rogelj |
|---|---|
| YEAR | 2023 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 43 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |