Data videos: turning data into engaging narratives

Simple item page
dc.contributor.authorAmini, Fereshteh
dc.contributor.examiningcommitteeBunt, Andrea (Computer Science)en_US
dc.contributor.examiningcommitteeMcNeill, Dean (Computer Engineering)en_US
dc.contributor.examiningcommitteeCarpendale, Sheelagh (Computing Science, Simon Fraser University)en_US
dc.contributor.supervisorIrani, Pourang (Computer Science)en_US
dc.date.accessioned2020-09-09T16:54:48Z
dc.date.available2020-09-09T16:54:48Z
dc.date.copyright2020-08-26
dc.date.issued2020en_US
dc.date.submitted2020-08-26T15:37:04Zen_US
dc.degree.disciplineComputer Scienceen_US
dc.degree.levelDoctor of Philosophy (Ph.D.)en_US
dc.description.abstractCommunicating data-driven insights typically through narrative visualizations is gaining increasing popularity in both practice and academia. Data videos identified as one of the main genres of narrative visualization are short motion graphics that incorporate visualizations about facts. Their unique characteristics make them a great candidate for telling compelling data stories to a broad audience. However, very little is systematically recorded about what elements are featured in data videos, the processes used to create them and what features make data videos effective. As a result, the solutions available to facilitate crafting these videos and taking advantage of their storytelling power are scarce and demand much needed attention from the research community. To this aim, in this thesis work, I present a series of exploratory studies to shed light on data videos, their constituent components, and creation process. Based on the lessons learned from these studies, I have designed and developed, DataClips, a web-based authoring tool to consolidate the creation of data videos by lowering the skill level required to create data videos using common data visualizations and animations. To apply the resulting data video authoring solution, I demonstrate use cases in which effective communication of the data insights to a broad audience is of significant importance. Through a large-scale online study, I have tested different design features of data videos to find answers to basic questions regarding their effectiveness. In particular, I have assessed the effects of animation, pictographs and icon-based visualizations on viewer engagement and preference in comprehending the communicated information. The results provide design implications for authoring effective data videos by maximizing viewer engagement and comprehension.en_US
dc.description.noteOctober 2020en_US
dc.identifier.citationFereshteh Amini, Nathalie Henry Riche, Bongshin Lee, Christophe Hurter, and Pourang Irani. Understanding data videos: Looking at narrative visualization through the cinematography lens. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, pages 1459–1468. ACM Press, 2015.en_US
dc.identifier.citationFereshteh Amini, Nathalie Henry Riche, Bongshin Lee, Andres Monroy-Hernandez, and Pourang Irani. Authoring data-driven videos with dataclips. IEEE transactions on visualization and computer graphics, 23 (1): 501–510, 2017.en_US
dc.identifier.citationFereshteh Amini, Mathew Brehmer, Gordon Boldun, Christina Elmer, and Benjamin Wiederkehr. Evaluating data-driven stories & storytelling tools, chapter 11 of Data-Driven Storytelling book. CRC Press, 2018.en_US
dc.identifier.citationFereshteh Amini, Nathalie Henry Riche, Bongshin Lee, Jason Leboe-McGowan, and Pourang Irani. Hooked on data videos: assessing the effect of animation and pictographs on viewer engagement. In Proceedings of the 2018 International Conference on Advanced Visual Interfaces, page 21. ACM, 2018.en_US
dc.identifier.urihttp://hdl.handle.net/1993/35030
dc.language.isoengen_US
dc.rightsopen accessen_US
dc.subjectData videosen_US
dc.subjectData visualizationen_US
dc.subjectData storytellingen_US
dc.subjectNarrative visualizationen_US
dc.subjectEvaluation methodsen_US
dc.subjectAnimated visualizationen_US
dc.subjectPictographsen_US
dc.titleData videos: turning data into engaging narrativesen_US
dc.typedoctoral thesisen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Amini_Fereshteh.pdf
Size:
6.48 MB
Format:
Adobe Portable Document Format
Description:
Fereshteh Amini (PhD Thesis)
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
2.2 KB
Format:
Item-specific license agreed to upon submission
Description:
Download
Collections
FGS - Electronic Theses and Practica