| dc.contributor.author | Roth, Michael | |
| dc.date.accessioned | 2016-02-18T19:48:57Z | |
| dc.date.available | 2016-02-18T19:48:57Z | |
| dc.date.issued | 2016-02 | |
| dc.identifier.uri | http://hdl.handle.net/1853/54532 | |
| dc.description.abstract | The 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.publisher | Georgia Institute of Technology | en_US |
| dc.subject | Intelligent tutoring system | en_US |
| dc.subject | Emotion based agents | en_US |
| dc.subject | Depth camera | en_US |
| dc.subject | Data deduplication | en_US |
| dc.title | Methods to Improve the Field of Intelligent Tutoring Systems using Emotion-based Agents | en_US |
| dc.type | Pre-print | en_US |
| dc.contributor.corporatename | Georgia Institute of Technology. School of Computer Science | en_US |
| dc.embargo.terms | null | en_US |
