An EEG Image-search dataset: a first-of-its-kind in IR/IIR. NAILS: neurally augmented image labelling strategies
Healy, Graham and Wang, Zhengwei and Gurrin, Cathal and Ward, Tomás E. and Smeaton, Alan F. (2017) An EEG Image-search dataset: a first-of-its-kind in IR/IIR. NAILS: neurally augmented image labelling strategies. In: NeuroIIR 2017 - CHIIR Workshop on Challenges in Bringing Neuroscience to Research in Human-Information Interaction, 11 Mar 2017, Oslo, Noway.
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In this work we emphasize the need for and we describe a first- of-its-kind RSVP (Rapid Serial Visual Presentation) - EEG (Elec- troencephalography) dataset to be released as part of the NTCIR-13 NAILS (Neurally Augmented Image Labelling Strategies) task at the NTCIR-13 participation conference. The dataset is used to support a collaborative evaluation task in which participating researchers benchmark machine-learning strategies against each other. The experimental protocol used to capture the dataset is designed to encompass a broad range of image search activities and coincident neural signals. Here, we outline the experimental protocol used to capture the dataset alongside discussing the motivation behind its construction.
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