The human as the mind in the machine: Addressing big data

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Abstract

A lot of what our brains process never enters our consciousness, even if it may be of potential value to us. So just what are we wasting by letting our brains process stimuli we don't even notice or attend to? This is one of the areas being explored in the 16-partner CEEDs project (ceeds-project.eu). Funded by the European Commission's Future and Emerging Technologies programme, CEEDs (the Collective Experience of Empathic Data systems) has developed new sensors and technologies to unobtrusively measure people's implicit reactions to multimodal presentations of very large data sets. The idea is that monitoring these reactions may reveal when you are surprised, satisfied, interested or engaged by a part of the data, even if you're not aware of being so. Applications of CEEDs technology are relevant to a broad range of disciplines - spanning science, education, design, and archaeology, all the way through to connected retail. This chapter provides a formalisation of the CEEDs approach and its applications and in so doing explains how the CEEDs project has broken new ground in the nascent domain of human computer confluence.

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APA

Freeman, J., Miotto, A., Lessiter, J., Verschure, P., Omedas, P., Seth, A. K., … Jacucci, G. (2016). The human as the mind in the machine: Addressing big data. In Human Computer Confluence: Transforming Human Experience Through Symbiotic Technologies (pp. 198–212). De Gruyter. https://doi.org/10.1515/9783110471137-011

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