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         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/249d75e0a74bee84a23fe0e3abbc6b399/hcics",         
         "tags" : [
            "Context","Context-aware","Pervasive","Sensors,","Visualization","bioinformatics,","hcics","vis","cognition,","cognition-aware","computing,","electroencephalography,","intelligent","modeling,","systems,","tracking,"
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         "intraHash" : "49d75e0a74bee84a23fe0e3abbc6b399",
         "interHash" : "67c379fef26a3c42f3c49b1a56db96c5",
         "label" : "Cognition-Aware Computing",
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         "date" : "2024-07-11 10:05:52",
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         "pub-type": "article",
         "journal": "IEEE Pervasive Computing",
         "year": "2014", 
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         "author": [ 
            "Andreas Bulling","Thorsten O. Zander"
         ],
         "authors": [
         	
            	{"first" : "Andreas",	"last" : "Bulling"},
            	{"first" : "Thorsten O.",	"last" : "Zander"}
         ],
         "volume": "13","number": "3","pages": "80-83","abstract": "Despite significant advances in context sensing and inference since its inception in the late 1990s, context-aware computing still doesn't implement a holistic view of all covert aspects of the user state. Here, the authors introduce the concept of cognitive context as an extension to the current notion of context with a cognitive dimension. They argue that visual behavior and brain activity are two promising sensing modalities for assessing the cognitive context and thus the development of cognition-aware computing systems.",
         "doi" : "10.1109/mprv.2014.42",
         
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