The brain as target image detector: the role of image category and presentation time

Authors:
Anne-Marie Brouwer;Jan B. F. van Erp;Bart Kappé;Anne E. Urai
Affiliations:
TNO Human Factors, Soesterberg, The Netherlands;TNO Human Factors, Soesterberg, The Netherlands;TNO Human Factors, Soesterberg, The Netherlands;TNO Human Factors, Soesterberg, The Netherlands and University College Utrecht, Utrecht, The Netherlands
Venue:
FAC'11 Proceedings of the 6th international conference on Foundations of augmented cognition: directing the future of adaptive systems
Year:
2011

Citing 2
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Human-aided computing: utilizing implicit human processing to classify images

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Electrophysiological studies of face perception in humans

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Abstract

The brain can be very proficient in classifying images that are hard for computer algorithms to deal with. Previous studies show that EEG can contribute to sorting shortly presented images in targets and non-targets. We examine how EEG and classification performance are affected by image presentation time and the kind of target: humans (a familiar category) or kangaroos (unfamiliar). Humans are much easier detected as indicated by behavioral data, EEG and classifier performance. Presentation of humans is reflected in the EEG even if observers were attending to kangaroos. In general, 50ms presentation time decreased markers of detection compared to 100ms.