Illustrative Motion Smoothing for Attention Guidance in Dynamic Visualizations

dc.contributor.authorEschner, Johannesen_US
dc.contributor.authorMindek, Peteren_US
dc.contributor.authorWaldner, Manuelaen_US
dc.contributor.editorBujack, Roxanaen_US
dc.contributor.editorArchambault, Danielen_US
dc.contributor.editorSchreck, Tobiasen_US
dc.date.accessioned2023-06-10T06:17:15Z
dc.date.available2023-06-10T06:17:15Z
dc.date.issued2023
dc.description.abstract3D animations are an effective method to learn about complex dynamic phenomena, such as mesoscale biological processes. The animators' goals are to convey a sense of the scene's overall complexity while, at the same time, visually guiding the user through a story of subsequent events embedded in the chaotic environment. Animators use a variety of visual emphasis techniques to guide the observers' attention through the story, such as highlighting, halos - or by manipulating motion parameters of the scene. In this paper, we investigate the effect of smoothing the motion of contextual scene elements to attract attention to focus elements of the story exhibiting high-frequency motion. We conducted a crowdsourced study with 108 participants observing short animations with two illustrative motion smoothing strategies: geometric smoothing through noise reduction of contextual motion trajectories and visual smoothing through motion blur of context items. We investigated the observers' ability to follow the story as well as the effect of the techniques on speed perception in a molecular scene. Our results show that moderate motion blur significantly improves users' ability to follow the story. Geometric motion smoothing is less effective but increases the visual appeal of the animation. However, both techniques also slow down the perceived speed of the animation. We discuss the implications of these results and derive design guidelines for animators of complex dynamic visualizations.en_US
dc.description.number3
dc.description.sectionheadersWhere to Look? AR, VR, and Attention
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume42
dc.identifier.doi10.1111/cgf.14836
dc.identifier.issn1467-8659
dc.identifier.pages361-372
dc.identifier.pages12 pages
dc.identifier.urihttps://doi.org/10.1111/cgf.14836
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14836
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subjectCCS Concepts: Human-centered computing -> Empirical studies in visualization; Computing methodologies -> Animation
dc.subjectHuman centered computing
dc.subjectEmpirical studies in visualization
dc.subjectComputing methodologies
dc.subjectAnimation
dc.titleIllustrative Motion Smoothing for Attention Guidance in Dynamic Visualizationsen_US
Files
Original bundle
Now showing 1 - 3 of 3
Loading...
Thumbnail Image
Name:
v42i3pp361-372_cgf14836.pdf
Size:
8.71 MB
Format:
Adobe Portable Document Format
No Thumbnail Available
Name:
1205-file-i7.mp4
Size:
53.94 MB
Format:
Unknown data format
No Thumbnail Available
Name:
studysupplement.zip
Size:
1.85 MB
Format:
Zip file
Collections