Erik Blasch, S. Rogers, Jared Culbertson, A. Rodríguez, L. Fenstermacher, R. Patterson
{"title":"信息融合探索","authors":"Erik Blasch, S. Rogers, Jared Culbertson, A. Rodríguez, L. Fenstermacher, R. Patterson","doi":"10.1109/NAECON.2014.7045805","DOIUrl":null,"url":null,"abstract":"Qualia-based Exploitation of Sensing Technology (QuEST) is an approach to create a cognitive exoskeleton to improve human-machine decision quality. In this paper, we discuss the motivation of QuEST as it pertains to man-machine information fusion. Operator-based situation awareness includes both elements of external sensory perception and internal cognitive explanation. We outline QuEST elements and tenets towards a reasoning approach that achieves human intelligence amplification (IA) as opposed to data aggregation from machine artificial intelligence (AI). In a use case example for automatic target exploitation, we showcase the need for enhanced understanding of the man (mind-body cognition) and the machine (sensor-based reasoning) for establishing a cohesive narrative of situational activities.","PeriodicalId":318539,"journal":{"name":"NAECON 2014 - IEEE National Aerospace and Electronics Conference","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"QuEST for information fusion\",\"authors\":\"Erik Blasch, S. Rogers, Jared Culbertson, A. Rodríguez, L. Fenstermacher, R. Patterson\",\"doi\":\"10.1109/NAECON.2014.7045805\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Qualia-based Exploitation of Sensing Technology (QuEST) is an approach to create a cognitive exoskeleton to improve human-machine decision quality. In this paper, we discuss the motivation of QuEST as it pertains to man-machine information fusion. Operator-based situation awareness includes both elements of external sensory perception and internal cognitive explanation. We outline QuEST elements and tenets towards a reasoning approach that achieves human intelligence amplification (IA) as opposed to data aggregation from machine artificial intelligence (AI). In a use case example for automatic target exploitation, we showcase the need for enhanced understanding of the man (mind-body cognition) and the machine (sensor-based reasoning) for establishing a cohesive narrative of situational activities.\",\"PeriodicalId\":318539,\"journal\":{\"name\":\"NAECON 2014 - IEEE National Aerospace and Electronics Conference\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"NAECON 2014 - IEEE National Aerospace and Electronics Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NAECON.2014.7045805\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"NAECON 2014 - IEEE National Aerospace and Electronics Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAECON.2014.7045805","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Qualia-based Exploitation of Sensing Technology (QuEST) is an approach to create a cognitive exoskeleton to improve human-machine decision quality. In this paper, we discuss the motivation of QuEST as it pertains to man-machine information fusion. Operator-based situation awareness includes both elements of external sensory perception and internal cognitive explanation. We outline QuEST elements and tenets towards a reasoning approach that achieves human intelligence amplification (IA) as opposed to data aggregation from machine artificial intelligence (AI). In a use case example for automatic target exploitation, we showcase the need for enhanced understanding of the man (mind-body cognition) and the machine (sensor-based reasoning) for establishing a cohesive narrative of situational activities.