BCI for Physiological Text Annotation

Barral, Oswald and Kosunen, Ilkka and Ruotsalo, Tuukka and Spapé, Michiel M. and Eugster, Manuel and Ravaja, Niklas and Kaski, Samuel and Jacucci, Giulio (2017) BCI for Physiological Text Annotation. In: Conference IUI'17 22nd International Conference on Intelligent User Interfaces Limassol, Cyprus — March 13 - 16, 2017. ACM, New York, NY, pp. 9-13. ISBN 9781450349017

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Official URL: http://dl.acm.org/citation.cfm?id=3038445

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.

Item Type: Book Section
Keywords: BCI, EEG, HCI, annotation
Faculty / Department: Faculty of Science > Psychology
Depositing User: Michiel Spape
Date Deposited: 22 Jun 2017 10:31
Last Modified: 22 Jun 2017 10:31
URI: http://hira.hope.ac.uk/id/eprint/2042

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