Immersive Analytics Interaction: User Preferences and Agreements by Task Type

Simple item page
dc.contributor.advisorMaurer, Frank
dc.contributor.authorChen, Qing
dc.contributor.committeememberWang, Xin
dc.contributor.committeememberOehlberg, Lora A.
dc.date2018-11
dc.date.accessioned2018-05-11T19:37:56Z
dc.date.available2018-05-11T19:37:56Z
dc.date.issued2018-05-10
dc.description.abstractFor immersive computing environments, multiple interaction modes (e.g. voice, gestures, handheld controller) have been proposed. In this thesis, I present the results of an elicitation study examining user preferences and measuring interaction agreements, based on two task types from an existing task taxonomy, in the context of data interaction in augmented reality (AR). The results indicate a non-statistically-significant association between a user’s input mode preference and the type of the performed task in most cases. However, agreements on interactions were found to be higher in one type of task. I reflect on the resulting implications and offer one practical guideline for UX designers creating AR-based analytics applications. This thesis also details an alternative way of quantifying user agreements in an elicitation study on interactions.en_US
dc.identifier.citationChen, Q. (2018). Immersive Analytics Interaction: User Preferences and Agreements by Task Type (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/31914en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/31914
dc.identifier.urihttp://hdl.handle.net/1880/106633
dc.language.isoeng
dc.publisher.facultyGraduate Studies
dc.publisher.facultyScience
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.subjectspeech input
dc.subjectgesture input
dc.subjectelicitation
dc.subjectimmersive analytics
dc.subjectaugmented reality
dc.subject.classificationComputer Scienceen_US
dc.titleImmersive Analytics Interaction: User Preferences and Agreements by Task Type
dc.typemaster thesis
thesis.degree.disciplineComputer Science
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.item.requestcopytrue
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
ucalgary_2018_chen_qing.pdf
Size:
3.33 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.74 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Open Theses and Dissertations