Using virtual reality to enhance exploratory analysis of categorized financial data

dc.contributor.authorSchär, Fabian
dc.contributor.mentorDornberger, Rolf
dc.contributor.mentorKorkut, Safak
dc.date.accessioned2023-12-22T15:38:53Z
dc.date.available2023-12-22T15:38:53Z
dc.date.issued2016
dc.description.abstractChecking in on your current financial situation has never been easier with the current e-banking and mobile banking solutions. Their representation of the data about financial transactions however has barely even changed in the last decade. It still relies on the same old pie-charts and tables for presenting an overview and to analyse the categorizedexpenses. With the increased performance of recent virtual reality devices, a whole new set of possibilities opens up to make use of the three-dimensional space. This master thesis presents the feasibility of enhancing the traditional exploratory analysis of categorized financial transactions with a generally available virtual reality device and tailored state-of-the-art interaction patterns and visualisation approaches.The most relevant interaction patterns in virtual reality are classified into Travel, Selection and Manipulation. While 'Travel' focuses on the movement and viewing inside the virtual environment, 'Selection' is about how the user can choose an object to later interact with, which then is part of 'Manipulation'. In this thesis, 360° Motion Tracking and Gesture Controllers are used as input methods for the 'Travel', respectively 'Se-lection' and 'Manipulation' interaction patterns....
dc.identifier.urihttps://irf.fhnw.ch/handle/11654/39872
dc.language.isoen
dc.publisherHochschule für Wirtschaft FHNW
dc.spatialOlten
dc.subject.ddc330 - Wirtschaft
dc.titleUsing virtual reality to enhance exploratory analysis of categorized financial data
dc.type11 - Studentische Arbeit
dspace.entity.typePublication
fhnw.InventedHereYes
fhnw.PublishedSwitzerlandYes
fhnw.StudentsWorkTypeMaster
fhnw.affiliation.hochschuleHochschule für Wirtschaft FHNWde_CH
fhnw.affiliation.institutMaster of Science
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relation.isMentorOfPublication79281801-c965-4a1c-afa5-3e9195745028
relation.isMentorOfPublication.latestForDiscovery64196f63-c326-4e10-935d-6776cc91354c
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