Natural brain-information interfaces: Recommending information by relevance inferred from human brain signals

Eugster, Manuel J. A. and Ruotsalo, Tuukka and Spapé, Michiel M. and Barral, Oswald and Ravaja, Niklas and Jacucci, Giulio and Kaski, Samuel (2016) Natural brain-information interfaces: Recommending information by relevance inferred from human brain signals. Scientific Reports. ISSN ISSN 2045-2322 (online) (Accepted for Publication)

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Abstract

Finding relevant information from large document collections such as the World Wide Web is a common task in our daily lives. Estimation of a user’s interest or search intention is necessary to recommend and retrieve relevant information from these collections. We introduce a brain-information interface used for recommending information by relevance inferred directly from brain signals. In experiments, participants were asked to read Wikipedia documents about a selection of topics while their EEG
was recorded. Based on the prediction of word relevance, the individual’s search intent was modeled and successfully used for retrieving new relevant documents from the whole English Wikipedia corpus. The results show that the users’ interests toward digital content can be modeled from the brain signals evoked by reading. The introduced brain-relevance paradigm enables the recommendation of information without any explicit user interaction and may be applied across diverse information-intensive
applications.

Item Type: Article
Additional Information and Comments: This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
Faculty / Department: Faculty of Human and Digital Sciences > School of Psychology
Depositing User: Michiel Spape
Date Deposited: 14 Dec 2016 14:52
Last Modified: 13 Mar 2018 06:25
URI: https://hira.hope.ac.uk/id/eprint/1773

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