BCI for Physiological Text Annotation

Abstract

Automatic annotation of media content has become a critically important task for many digital services as the quantity of available online media content has grown exponentially. One approach is to annotate the content using the physiological responses of the media consumer. In the present paper, we reflect on three case studies that use brain signals for implicit text annotation to discuss the challenges faced when bringing passive brain-computer interfaces for physiological text annotation to the real world.