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dc.contributor.authorChen, Xinen_US
dc.date.accessioned2016-08-23T08:00:21Z
dc.date.available2016-08-23T08:00:21Z
dc.date.issued2016-08-22en_US
dc.identifier.othervt_gsexam:8708en_US
dc.identifier.urihttp://hdl.handle.net/10919/72287
dc.description.abstractWith the rise of big data, it is becoming increasingly important to educate students about data analytics. In particular, students without a strong mathematical background usually have an unenthusiastic attitude towards high-dimensional data and find it challenging to understand relevant complex analytical methods, such as dimension reduction. In this thesis, we present an embodied approach for visual analytics designed to teach students exploring alternative 2D projections of high dimensional data points using weighted multidimensional scaling. We proposed a novel application, Be the Data, to explore the possibilities of using human's embodied resources to learn from high dimensional data. In our system, each student embodies a data point and the position of students in a physical space represents a 2D projection of the high-dimensional data. Students physically moves in a room with respect to others to interact with alternative projections and receive visual feedback. We conducted educational workshops with students inexperienced in relevant data analytical methods. Our findings indicate that the students were able to learn about high-dimensional data and data analysis process despite their low level of knowledge about the complex analytical methods. We also applied the same techniques into social meetings to explain social gatherings and facilitate interactions.en_US
dc.format.mediumETDen_US
dc.publisherVirginia Techen_US
dc.rightsThis Item is protected by copyright and/or related rights. Some uses of this Item may be deemed fair and permitted by law even without permission from the rights holder(s), or the rights holder(s) may have licensed the work for use under certain conditions. For other uses you need to obtain permission from the rights holder(s).en_US
dc.subjectVisual Analyticsen_US
dc.subjectEmbodied Interactionen_US
dc.subjectCollaborative Learningen_US
dc.subjectHuman-Computer Interactionen_US
dc.subjectImmersive Environmenten_US
dc.titleBe the Data: Embodied Visual Analyticsen_US
dc.typeThesisen_US
dc.contributor.departmentComputer Scienceen_US
dc.description.degreeMSen_US
thesis.degree.nameMSen_US
thesis.degree.levelmastersen_US
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen_US
thesis.degree.disciplineComputer Science and Applicationsen_US
dc.contributor.committeechairNorth, Christopher Len_US
dc.contributor.committeechairHouse, Leanna Len_US
dc.contributor.committeememberPolys, Nicholas Fearingen_US


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