Introducing social networks and brain computer interaction

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Title: Introducing social networks and brain computer interaction
Authors: Bourke, Steven
Healy, Graham
Smeaton, Alan F.
Smyth, Barry
Permanent link: http://hdl.handle.net/10197/3910
Date: 21-Jun-2012
Abstract: It is well known that the brain generates electrical patterns of activity in response to visual stimuli such as faces or any- thing that captures attention in a significant way. Signals of this type can be detected using an EEG (Electroencephalograph) system where we attach electrodes to the scalp and we amplify the detected signals and use a computer to capture them in real time. In this paper we examine the role that automatic sensing of brain activity may have on how users interact with interactive applications like Facebook. This offers a new opportunity for implicit feedback into such systems and in our work we focus on social networking applications. We demonstrate some of these implicit responses with experimental data captured while a user searched Facebook for photos of friends while being connected to an EEG. Finally, we discuss the implications that this kind of automatic implicit feedback may have on future design of such systems.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: National University of Ireland, Galway
Copyright (published version): NUI Galway
Keywords: Human FactorsExperimentationRecommender systems
Subject LCSH: Human-computer interaction
Electroencephalography
Recommender systems (Information filtering)
Online social networks
Language: en
Status of Item: Peer reviewed
Is part of: iHCI 2012: Proceedings of the Sixth Anual Irish Human Computer Interaction Conference : Poetics of design, narratives of use
Conference Details: iHCI 2012: Irish Human Computer Interaction Conference 2012, Galway, June 20 - 21
Appears in Collections:CLARITY Research Collection
Computer Science Research Collection

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