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Introducing social networks and brain computer interaction
Bourke, Steven; Healy, Graham; Smeaton, Alan F.; Smyth, Barry
iHCI 2012: Irish Human Computer Interaction Conference 2012, Galway, June 20 - 21 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. Science Foundation Ireland DG 17/10/2012 Due to be published in ACM but not sure when so i've modified ACM copyright statement - "© ACM, 2012 This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version will be published online by ACM " DG 17/10/2012 Names: 2012-11-16 JG Published proceedings found, published by NUI Galway - OR 23/11/12
Keyword(s): Human Factors; Experimentation; Recommender systems; Human-computer interaction; Electroencephalography; Recommender systems (Information filtering); Online social networks
Publication Date:
2012
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Institution: University College Dublin
Publisher(s): National University of Ireland, Galway
First Indexed: 2012-11-24 05:15:29 Last Updated: 2018-10-11 15:53:22