Supporting Visual Comparisons of Temporal Sequences

Baker, Adam

Supporting Visual Comparisons of Temporal Sequences

dc.contributor.advisor	Gutwin, Carl
dc.contributor.committeeMember	Stavness, Ian
dc.contributor.committeeMember	Mondal, Debajyoti
dc.creator	Baker, Adam
dc.creator.orcid	0009-0006-3513-6620
dc.date.accessioned	2025-02-11T17:58:21Z
dc.date.available	2024-12-19T15:59:23Z
dc.date.available	2025-02-11T17:58:21Z
dc.date.copyright	2024
dc.date.created	2024-12
dc.date.issued	2024-12-19
dc.date.submitted	December 2024
dc.date.updated	2024-12-19T15:59:23Z
dc.description.abstract	Comparing temporal sequences (such as videos or animations) can provide unique insights into the observed differences between entities. Many visual comparison techniques exist for static visualizations, but there is a distinct lack of support for comparisons that combine spatial attributes with temporal sequences. In this thesis, we investigate the inherent challenges of completing a video comparison task and develop a suite of interaction techniques to address these issues. We provide techniques for equalizing the reference frame of displays, juxtaposition techniques for enhancing side-by-side comparison, superposition techniques for stacking displays, explicit-encoding techniques that help visualize the relationships between datasets, and temporal-to-linear techniques that translate between a temporal sequence of frames and a 1D timeline. We ran a usability test on a broad set of techniques and a set of more focused performance studies on one technique called Shadow Marks, which supports multi-view spatial comparison tasks. Feedback from the usability evaluation suggests that our techniques facilitated learnability and utility in several real-world tasks. Performance results from the user studies provide empirical evidence that the Shadow Marks technique improves accuracy and speed in spatial comparison tasks, supporting our usability results and opening the door for future research into temporal sequence comparison.
dc.format.mimetype	application/pdf
dc.identifier.uri	https://hdl.handle.net/10388/16349.2
dc.language.iso	en
dc.subject	Visual comparison
dc.subject	Temporal sequence
dc.subject	Video
dc.subject	Interaction techniques
dc.title	Supporting Visual Comparisons of Temporal Sequences
dc.type	Thesis
dc.type.genre	Thesis
dc.type.material	text
thesis.degree.department	Computer Science
thesis.degree.discipline	Computer Science
thesis.degree.grantor	University of Saskatchewan
thesis.degree.level	Masters
thesis.degree.name	Master of Science (M.Sc.)