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dc.contributor.authorKondur, Navyaram Venkataen_US
dc.date.accessioned2018-06-06T08:01:39Z
dc.date.available2018-06-06T08:01:39Z
dc.date.issued2018-06-05en_US
dc.identifier.othervt_gsexam:15620en_US
dc.identifier.urihttp://hdl.handle.net/10919/83466
dc.description.abstractHiking is a widely-used term used differently by different people, and technology has an increasing role in the hikes that people take. Given the tremendous growth in technology capabilities for fitness, navigation, and communication, the breadth of devices and applications has expanded. Use of technology differs based on not only individuals but also the kinds of tasks performed. This research seeks to understand the different perspectives of the hikers and the technology they carry with them on the trail through a survey, analysis, and persona creation. 40 self-described hikers participated in a survey that asked about demographic data, hiking preferences, and would-you-rather preferences asking participants to choose between envisioned hiking and technology scenarios. The collected data were clustered into 6 clusters using K-Mode clustering, and descriptive analysis identified unique characteristics for each cluster. Five personas were crafted using the identified characteristics based on the analysis, taking into account the correlation between hiking preference and age, preferred activities and motivation, and maximum expenses they spend on the tech they carry. These personas seek to act as a guide to those who purchase, design and use hiking related products for both commercial and research purposes.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.subjectHikingen_US
dc.subjectTechnology on the Trailen_US
dc.subjectK-Mode Clusteringen_US
dc.subjectDescriptive Analysisen_US
dc.subjectPersonaen_US
dc.subjectSmartphoneen_US
dc.subjectTrailsen_US
dc.titleUsing K-Mode Clustering to Identify Personas for Technology on the Trailen_US
dc.typeThesisen_US
dc.contributor.departmentComputer Scienceen_US
dc.description.degreeMaster of Scienceen_US
thesis.degree.nameMaster of Scienceen_US
thesis.degree.levelmastersen_US
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen_US
thesis.degree.disciplineComputer Science and Applicationsen_US
dc.contributor.committeechairMcCrickard, Donald Scotten_US
dc.contributor.committeememberHarrison, Steven R.en_US
dc.contributor.committeememberHorning, Michael A.en_US


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