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

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Eugster, Manuel
dc.contributor.author Ruotsalo, Tuukka
dc.contributor.author Spape, Michiel
dc.contributor.author Barral, Oswald
dc.contributor.author Ravaja, Niklas
dc.contributor.author Jacucci, Giulio
dc.contributor.author Kaski, Samuel
dc.date.accessioned 2017-03-23T10:55:22Z
dc.date.available 2017-03-23T10:55:22Z
dc.date.issued 2016-11-09
dc.identifier.citation Eugster , M , Ruotsalo , T , Spape , M , Barral , O , Ravaja , N , Jacucci , G & Kaski , S 2016 , ' Natural brain-information interfaces: Recommending information by relevance inferred from human brain signals ' SCIENTIFIC REPORTS , vol 6 , 38580 , pp. 1-10 . DOI: 10.1038/srep38580 en
dc.identifier.issn 2045-2322
dc.identifier.other PURE UUID: 1ac4ea63-e9c1-45f5-91d9-e734cb2e93d1
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/natural-braininformation-interfaces-recommending-information-by-relevance-inferred-from-human-brain-signals(1ac4ea63-e9c1-45f5-91d9-e734cb2e93d1).html
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/10958593/srep38580.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/24856
dc.description.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. en
dc.format.extent 1-10
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries SCIENTIFIC REPORTS en
dc.relation.ispartofseries Volume 6 en
dc.rights openAccess en
dc.subject.other Computer Science(all) en
dc.subject.other 113 Computer and information sciences en
dc.subject.other Computer science en
dc.title Natural brain-information interfaces: Recommending information by relevance inferred from human brain signals en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Helsinki Insititute for Information Technology HIIT
dc.contributor.department Department of Computer Science
dc.contributor.department University of Helsinki
dc.contributor.department Department of Information and Service Management
dc.subject.keyword Computer Science(all)
dc.subject.keyword 113 Computer and information sciences
dc.subject.keyword Computer science
dc.identifier.urn URN:NBN:fi:aalto-201703233099
dc.identifier.doi 10.1038/srep38580
dc.type.version publishedVersion


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