BCI for physiological text annotation

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


Research units

  • University of Helsinki


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.


Original languageEnglish
Title of host publicationBCIforReal 2017 - Proceedings of the 2017 ACM Workshop on An Application-Oriented Approach to BCI Out of the Laboratory, co-located with IUI 2017
Publication statusPublished - 13 Mar 2017
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Intelligent User Interfaces - Limassol, Cyprus
Duration: 13 Mar 201716 Mar 2017
Conference number: 22


ConferenceInternational Conference on Intelligent User Interfaces
Abbreviated titleIUI

    Research areas

  • Passive BCI, Physiological computing, Physiological text annotation

ID: 12135741