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dc.contributor.authorRoth, Michael
dc.date.accessioned2016-02-18T19:48:57Z
dc.date.available2016-02-18T19:48:57Z
dc.date.issued2016-02
dc.identifier.urihttp://hdl.handle.net/1853/54532
dc.description.abstractThe aim of this paper is to review select current methods used in the field of Intelligent Tutoring Systems (ITS) with respect to the use of emotion-based agents and how those systems interact with the learner to capture criti-cal data, store the data, and effectively process the data to produce valuable feedback. From this data collected, proposed methods are presented on how to improve existing ITS systems and how to make new ITS’s more effective.en_US
dc.publisherGeorgia Institute of Technologyen_US
dc.subjectIntelligent tutoring systemen_US
dc.subjectEmotion based agentsen_US
dc.subjectDepth cameraen_US
dc.subjectData deduplicationen_US
dc.titleMethods to Improve the Field of Intelligent Tutoring Systems using Emotion-based Agentsen_US
dc.typePre-printen_US
dc.contributor.corporatenameGeorgia Institute of Technology. School of Computer Scienceen_US
dc.embargo.termsnullen_US


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