uu.seUppsala University Publications
Change search
ReferencesLink to record
Permanent link

Direct link
Precision study on augmented reality-based visual guidance for facility management tasks
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Högskolan i Gävle.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Högskolan i Gävle.
(English)Article in journal (Refereed) Submitted
National Category
Human Computer Interaction Other Computer and Information Science
Identifiers
URN: urn:nbn:se:uu:diva-301360OAI: oai:DiVA.org:uu-301360DiVA: diva2:954223
Available from: 2016-08-22 Created: 2016-08-22 Last updated: 2016-08-29
In thesis
1. Hand-held Augmented Reality for Facility Maintenance
Open this publication in new window or tab >>Hand-held Augmented Reality for Facility Maintenance
2016 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Buildings and public infrastructures are crucial to our societies in that they provide habitations, workplaces, commodities and services indispensible to our daily life. As vital parts of facility management, operations and maintenance (O&M) ensure a facility to continuously function as intended, which take up the longest time in a facility’s life cycle and demand great expense. Therefore, computers and information technology have been actively adopted to automate traditional maintenance methods and processes, making O&M faster and more reliable.

Augmented reality (AR) offers a new approach towards human-computer interaction through directly displaying information related to real objects that people are currently perceiving. People’s sensory perceptions are enhanced (augmented) with information of interest naturally without deliberately turning to computers. Hence, AR has been proved to be able to further improve O&M task performance.

The research motif of this thesis is user evaluations of AR applications in the context of facility maintenance. The studies look into invisible target designation tasks assisted by developed AR tools in both indoor and outdoor scenarios. The focus is to examine user task performance, which is influenced by both AR system performance and human perceptive, cognitive and motoric factors.

Target designation tasks for facility maintenance entail a visualization-interaction dilemma. Two AR systems built upon consumer-level hand-held devices using an off-the-shelf AR software development toolkit are evaluated indoors with two disparate solutions to the dilemma – remote laser pointing and the third person perspective (TPP). In the study with remote laser pointing, the parallax effect associated with AR “X-ray vision” visualization is also an emphasis.

A third hand-held AR system developed in this thesis overlays infrared information on façade video, which is evaluated outdoors. Since in an outdoor environment marker-based tracking is less desirable, an infrared/visible image registration method is developed and adopted by the system to align infrared information correctly with the façade in the video. This system relies on the TPP to overcome the aforementioned dilemma.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2016. 82 p.
Series
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology, ISSN 1651-6214 ; 1412
Keyword
Augmented reality, Façade, Image registration, Thermal infrared imaging, Facility management, Third person perspective, Target designation, Precision study, Experiment
National Category
Other Computer and Information Science Human Computer Interaction
Research subject
Computerized Image Processing
Identifiers
urn:nbn:se:uu:diva-301363 (URN)978-91-554-9669-2 (ISBN)
Public defence
2016-10-07, Room 2446, Lägerhyddsvägen 2, House 2, Uppsala, 13:15 (English)
Opponent
Supervisors
Available from: 2016-09-15 Created: 2016-08-22 Last updated: 2016-09-22

Open Access in DiVA

No full text

By organisation
Computerized Image Analysis and Human-Computer InteractionDivision of Visual Information and Interaction
Human Computer InteractionOther Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 15 hits
ReferencesLink to record
Permanent link

Direct link