Demo Data from EDBT 2026 / reviewers in the wild / expert
Florence Y. Wang
dblp:284/4652
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
1 paper |
Visualization and visual analytics · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Energy systems and smart grids · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Personal fabrication and tangible interfaces · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Visualization and visual analytics › visual analytics › interactive visual analysis
collaborative visual analytics |
0.5 | 1 | 2021 | Uplift: A Tangible and Immersive Tabletop System for Casual Collaborative Visual Analytics · IEEE Trans. Vis. Comput. Graph. 2021 |
Visualization and visual analytics
visual analytics |
0.5 | 1 | 2021 | Uplift: A Tangible and Immersive Tabletop System for Casual Collaborative Visual Analytics · IEEE Trans. Vis. Comput. Graph. 2021 |
Energy systems and smart grids › microgrid
microgrid management |
0.1 | 1 | 2021 | Uplift: A Tangible and Immersive Tabletop System for Casual Collaborative Visual Analytics · IEEE Trans. Vis. Comput. Graph. 2021 |
Personal fabrication and tangible interfaces
tangible interaction |
0.1 | 1 | 2021 | Uplift: A Tangible and Immersive Tabletop System for Casual Collaborative Visual Analytics · IEEE Trans. Vis. Comput. Graph. 2021 |
Methods — techniques the papers use, named apart from their topics
tangible interaction · 1.5co-design · 1.5augmented reality · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Uplift: A Tangible and Immersive Tabletop System for Casual Collaborative Visual AnalyticsabstractCollaborative visual analytics leverages social interaction to support data exploration and sensemaking. These processes are typically imagined as formalised, extended activities, between groups of dedicated experts, requiring expertise with sophisticated data analysis tools. However, there are many professional domains that benefit from support for short 'bursts' of data exploration between a subset of stakeholders with a diverse breadth of knowledge. Such 'casual collaborative' scenarios will require engaging features to draw users' attention, with intuitive, 'walk-up and use' interfaces. This paper presents Uplift, a novel prototype system to support 'casual collaborative visual analytics' for a campus microgrid, co-designed with local stakeholders. An elicitation workshop with key members of the building management team revealed relevant knowledge is distributed among multiple experts in their team, each using bespoke analysis tools. Uplift combines an engaging 3D model on a central tabletop display with intuitive tangible interaction, as well as augmented-reality, mid-air data visualisation, in order to support casual collaborative visual analytics for this complex domain. Evaluations with expert stakeholders from the building management and energy domains were conducted during and following our prototype development and indicate that Uplift is successful as an engaging backdrop for casual collaboration. Experts see high potential in such a system to bring together diverse knowledge holders and reveal complex interactions between structural, operational, and financial aspects of their domain. Such systems have further potential in other domains that require collaborative discussion or demonstration of models, forecasts, or cost-benefit analyses to high-level stakeholders. Barrett Ens, Sarah Goodwin, Arnaud Prouzeau, Fraser Anderson, Florence Y. Wang, Samuel Gratzl, Zac Lucarelli, Brendan Moyle, Jim Smiley, Tim Dwyer |
IEEE Trans. Vis. Comput. Graph. | 5 |