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Statistical Analysis and Evaluation of the 6DOF-utilization of a Handheld Augmented Reality Museum Application
KTH, School of Electrical Engineering and Computer Science (EECS).
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
Statistisk analys och evaluering av 6DOF-användningen av en handhållen förstärkt verklighetsapplikation för museum (Swedish)
Abstract [en]

This study explored the relatively new field of public mobile handheld AR and how the touchscreen-based input of smartphones affects the way users aged 10-12 interact with the 6DOF (6 degrees of freedom) that AR provides. Two experiments were performed, one in a public museum setting and one in a private school setting. A statistical analysis was performed between non-restricted and restricted touchscreen-based input. Quantitative and qualitative data was gathered through semi structured interviews and non-participant observations. Results show no statistical significance between the physical distance moved of the smartphone and the restriction of touchscreen-based input. Qualitative data show a different software application may yield different results.

Abstract [sv]

Den här studien utforskade det relativt nya området inom offentlig mobil handhållen förstärkt verklighet och hur den pekskärmsbaserade interaktionen av mobila enheter påverkar sättet användare med åldrar 10-12 interagerar med de sex frihetsgrader som förstärkt verklighet möjliggör. Två experiment utfördes, det ena i en publik miljö på ett museum och det andra i en privat miljö på en skola. En statistisk analys utfördes mellan begränsad och icke-begränsad pekskärms interaktion. Kvantitativ och kvalitativ data samlades genom semi-strukturerade intervjuer och icke-deltagande observationer. Resultatet visar på att det inte finns någon statiskt signifikant skillnad mellan den fysiska rörelsen av den mobila enheten och begränsningen av pekskärmsinteraktionen. Den kvalitativa datan visar dock att en annorlunda implementation av mjukvaran kan ge andra resultat.

Place, publisher, year, edition, pages
2019. , p. 11
Series
TRITA-EECS-EX ; 2019:54
Keywords [en]
Augmented reality, user study, museum, school, handheld, statistical analysis
National Category
Media and Communication Technology
Identifiers
URN: urn:nbn:se:kth:diva-251316OAI: oai:DiVA.org:kth-251316DiVA, id: diva2:1315068
Educational program
Master of Science in Engineering - Computer Science and Technology
Supervisors
Examiners
Available from: 2019-05-15 Created: 2019-05-10 Last updated: 2019-05-15Bibliographically approved

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CiteExportLink to record
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  • apa
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