89 citations · 349 across the 16 of their papers we have counts for
18 papers
Situated Visualization in Motion for Swimming
Lijie Yao, Anastasia Bezerianos, Romain Vuillemot +1
Competitive sports coverage increasingly includes information on athlete or team statistics and records. Sports video coverage has traditionally embedded representations of this da…
Situated Visualization in Motion for Video Games
Federica Bucchieri, Lijie Yao, Petra Isenberg
We contribute a systematic review of situated visualizations in motion in the context of video games. Video games produce rich dynamic datasets during gameplay that are often visua…
Envisioning Situated Visualizations of Environmental Footprints in an Urban Environment
Yvonne Jansen, Federica Bucchieri, Pierre Dragicevic +7
We present the results of a brainstorming exercise focused on how situated visualizations could be used to better understand the state of the environment and our personal behaviora…
Situated Visualization in Motion
Lijie Yao, Anastasia Bezerianos, Petra Isenberg
We contribute a first design space on visualizations in motion and the design of a pilot study we plan to run in the fall. Visualizations can be useful in contexts where either the…
Reflections on Visualization in Motion for Fitness Trackers
Alaul Islam, Lijie Yao, Anastasia Bezerianos +5
In this paper, we reflect on our past work towards understanding how to design visualizations for fitness trackers that are used in motion. We have coined the term "visualization i…
Eleven Years of Gender Data Visualization: A Step Towards More Inclusive Gender Representation
Florent Cabric, Margrét Vilborg Bjarnadóttir, Meng Ling +2
We present an analysis of the representation of gender as a data dimension in data visualizations and propose a set of considerations around visual variables and annotations for ge…
Open Questions about the Visualization of Sociodemographic Data
Florent Cabric, Margrét Vilborg Bjarnadóttir, Anne-Flore Cabouat +1
This paper collects a set of open research questions on how to visualize sociodemographic data. Sociodemographic data is a common part of datasets related to people, including inst…
Design Characterization for Black-and-White Textures in Visualization
Tingying He, Yuanyang Zhong, Petra Isenberg +1
We investigate the use of 2D black-and-white textures for the visualization of categorical data and contribute a summary of texture attributes, and the results of three experiments…
Not As Easy As You Think -- Experiences and Lessons Learnt from Trying to Create a Bottom-Up Visualization Image Typology
Jian Chen, Petra Isenberg, Robert S. Laramee +4
We present and discuss the results of a two-year qualitative analysis of images published in IEEE Visualization (VIS) papers. Specifically, we derive a typology of 13 visualization…
BeauVis: A Validated Scale for Measuring the Aesthetic Pleasure of Visual Representations
Tingying He, Petra Isenberg, Raimund Dachselt +1
We developed and validated a rating scale to assess the aesthetic pleasure (or beauty) of a visual data representation: the BeauVis scale. With our work we offer researchers and pr…
Perception! Immersion! Empowerment! Superpowers as Inspiration for Visualization
Wesley Willett, Bon Adriel Aseniero, Sheelagh Carpendale +4
We explore how the lens of fictional superpowers can help characterize how visualizations empower people and provide inspiration for new visualization systems. Researchers and prac…
Document Domain Randomization for Deep Learning Document Layout Extraction
Meng Ling, Jian Chen, Torsten Möller +7
We present document domain randomization (DDR), the first successful transfer of convolutional neural networks (CNNs) trained only on graphically rendered pseudo-paper pages to rea…
VIS30K: A Collection of Figures and Tables from IEEE Visualization Conference Publications
Jian Chen, Meng Ling, Rui Li +8
We present the VIS30K dataset, a collection of 29,689 images that represents 30 years of figures and tables from each track of the IEEE Visualization conference series (Vis, SciVis…
Visualizing information on watch faces: A survey with smartwatch users
Alaul Islam, Anastasia Bezerianos, Bongshin Lee +2
People increasingly wear smartwatches that can track a wide variety of data. However, it is currently unknown which data people consume and how it is visualized. To better ground r…
MobileVisFixer: Tailoring Web Visualizations for Mobile Phones Leveraging an Explainable Reinforcement Learning Framework
Aoyu Wu, Wai Tong, Tim Dwyer +3
We contribute MobileVisFixer, a new method to make visualizations more mobile-friendly. Although mobile devices have become the primary means of accessing information on the web, m…
Visualizing and Analyzing Entity Activity on the Bitcoin Network
Christoph Kinkeldey, Jean-Daniel Fekete, Tanja Blascheck +1
We present BitConduite, a visual analytics tool for explorative analysis of financial activity within the Bitcoin network. Bitcoin is the largest cryptocurrency worldwide and a phe…
A Comparative Evaluation of Animation and Small Multiples for Trend Visualization on Mobile Phones
Matthew Brehmer, Bongshin Lee, Petra Isenberg +1
We compare the efficacy of animated and small multiples variants of scatterplots on mobile phones for comparing trends in multivariate datasets. Visualization is increasingly preva…
Toward a deeper understanding of Visualization through keyword analysis
Petra Isenberg, Tobias Isenberg, Michael Sedlmair +2
We present the results of a comprehensive analysis of visualization paper keywords supplied for 4366 papers submitted to five main visualization conferences. We describe main keywo…