Stabilized Annotations for Mobile Remote Assistance

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atmire.migration.oldid5137
dc.contributor.advisorTang, Anthony
dc.contributor.authorFakourfar, Omid
dc.contributor.committeememberJacob, Christian
dc.contributor.committeememberOehlberg, Lora
dc.date.accessioned2016-12-05T22:25:22Z
dc.date.available2016-12-05T22:25:22Z
dc.date.issued2016
dc.date.submitted2016en
dc.description.abstractRecent mobile technology has provided new opportunities for creating remote assistance systems. However, mobile support systems present a particular challenge: both the camera and display are held by the user, leading to shaky video. When pointing or drawing annotations, this means that the desired target often moves, causing the gesture to lose its intended meaning. To address this problem, this thesis investigates an annotation stabilization technique, which allows annotations to stick to their intended location. I studied two different forms of annotation systems, with both tablets and head-mounted displays. To differentiate my work from the prior research, I considered a number of task factors that might influence system performance in remote assistance scenarios. My analysis suggests that stabilized annotations and head-mounted displays are only beneficial in certain situations. I conclude with reflections on system limitations and potential future work.en_US
dc.identifier.citationFakourfar, O. (2016). Stabilized Annotations for Mobile Remote Assistance (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/27865en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/27865
dc.identifier.urihttp://hdl.handle.net/11023/3477
dc.language.isoeng
dc.publisher.facultyGraduate Studies
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subjectComputer Science
dc.titleStabilized Annotations for Mobile Remote Assistance
dc.typemaster thesis
thesis.degree.disciplineComputer Science
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.item.requestcopytrue
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