<i>GEM-NI</i>

Zaman, Loutfouz; Stuerzlinger, Wolfgang; Neugebauer, Christian; Woodbury, Robert; Elkhaldi, Maher; Shireen, Naghmi; Terry, Michael

doi:10.1145/2702123.2702398

Cited by 43 publications

(12 citation statements)

References 24 publications

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“…Notable workflow‐based systems for abstract data visualization include GraphTrail [DHRL * 12], where each node in the workflow shows an aspect of a multivariate network, and VisFlow [YS17], which is tailored to tabular data. GEM‐NI [ZSN * 15] is a system that presents a workflow‐based approach for generative design. The GEM‐NI approach demonstrates the use of explicit workflows for parallel exploration of alternative designs.…”

Section: Related Workmentioning

confidence: 99%

Reusing Interactive Analysis Workflows

Gadhave

Cutler

Lex

2022

Computer Graphics Forum

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Interactive visual analysis has many advantages, but an important disadvantage is that analysis processes and workflows cannot be easily stored and reused. This is in contrast to code‐based analysis workflows, which can simply be run on updated datasets, and adapted when necessary. In this paper, we introduce methods to capture workflows in interactive visualization systems for different interactions such as selections, filters, categorizing/grouping, labeling, and aggregation. These workflows can then be applied to updated datasets, making interactive visualization sessions reusable. We demonstrate this specification using an interactive visualization system that tracks interaction provenance, and allows generating workflows from the recorded actions. The system can then be used to compare different versions of datasets and apply workflows to them. Finally, we introduce a Python library that can load workflows and apply it to updated datasets directly in a computational notebook, providing a seamless bridge between computational workflows and interactive visualization tools.

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Section: Related Workmentioning

confidence: 99%

Reusing Interactive Analysis Workflows

Gadhave

Cutler

Lex

2022

Computer Graphics Forum

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“…A pilot study indicated that our system can help users create compelling animated objects through an intuitive sculpting interface without requiring other data or tools. We plan to engage with more users to elicit feedback and create more varied outputs to further explore and expand our design and method, such as displaying multiple possible solutions [54,20] and incorporating machine learning [6].…”

Section: Conclusion Limitations and Future Workmentioning

confidence: 99%

Autocomplete Animated Sculpting

Peng

Wei

Kazi

et al. 2020

Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology

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Keyframe-based sculpting provides unprecedented freedom to author animated organic models, which can be difficult to create with other methods such as simulation, scripting, and rigging. However, sculpting animated objects can require significant artistic skill and manual labor, even more so than sculpting static 3D shapes or drawing 2D animations, which are already quite challenging. We present a keyframe-based animated sculpting system with the capability to autocomplete user editing under a simple and intuitive brushing interface. Similar to current desktop sculpting and VR brushing tools, users can brush surface details and volume structures. Meanwhile, our system analyzes their workflows and predicts what they might do in the future, both spatially and temporally. Users can accept or ignore these suggestions and thus maintain full control. We propose the first interactive suggestive keyframe sculpting system, specifically for spatio-temporal repetitive tasks, including

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“…Adobe Comp 1 lets designers quickly draw initial layout ideas before moving to expert software. Gem-ni [36] and Parallel Paths [32] support parallel editing and active comparison of multiple divergent visual elements. Adaptive Ideas [20] helps designers create website layouts by sampling example elements.…”

Section: Enhancing Graphic Designers' Practicesmentioning

confidence: 99%

Beyond Grids

Maudet

Jalal

Tchernavskij

et al. 2017

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

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Traditional graphic design tools emphasize the grid for structuring layout. Interviews with professional graphic designers revealed that they use surprisingly sophisticated structures that go beyond the grid, which we call graphical substrates. We present a framework to describe how designers establish graphical substrates based on properties extracted from concepts, content and context, and use them to compose layouts in both space and time. We developed two technology probes to explore how to embed graphical substrates into tools. Contextify lets designers tailor layouts according to each reader's intention and context; while Linkify lets designers create dynamic layouts based on relationships among content properties. We tested the probes with professional graphic designers, who all identified novel uses in their current projects. We incorporated their suggestions into, StyleBlocks, a prototype that reifies CSS declarations into interactive graphical substrates. Graphical substrates offer an untapped design space for tools that can help graphic designers generate personal layout structures.

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GEM-NI

Cited by 43 publications

References 24 publications

Reusing Interactive Analysis Workflows

Reusing Interactive Analysis Workflows

Autocomplete Animated Sculpting

Beyond Grids

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