47 citations · 176 across the 23 of their papers we have counts for
26 papers
Eye of the Beholder: Towards Measuring Visualization Complexity
Johannes Ellemose, Niklas Elmqvist
Constructing expressive and legible visualizations is a key activity for visualization designers. While numerous design guidelines exist, research on how specific graphical feature…
EventLines: Time Compression for Discrete Event Timelines
Yuet Ling Wong, Niklas Elmqvist
Discrete event sequences serve as models for numerous real-world datasets, including publications over time, project milestones, and medication dosing during patient treatments. Th…
HeedVision: Attention Awareness in Collaborative Immersive Analytics Environments
Arvind Srinivasan, Niklas Elmqvist
Group awareness--the ability to perceive the activities of collaborators in a shared space--is a vital mechanism to support effective coordination and joint data analysis in collab…
The Reality of the Situation: A Survey of Situated Analytics
Sungbok Shin, Andrea Batch, Peter W. S. Butcher +2
The advent of low cost, accessible, and high performance augmented reality (AR) has shed light on a situated form of analytics where in-situ visualizations embedded in the real wor…
uxSense: Supporting User Experience Analysis with Visualization and Computer Vision
Andrea Batch, Yipeng Ji, Mingming Fan +2
Analyzing user behavior from usability evaluation can be a challenging and time-consuming task, especially as the number of participants and the scale and complexity of the evaluat…
Textiverse: A Scalable Visual Analytics System for Exploring Geotagged and Timestamped Text Corpora
Caroline Berger, Hanjun Xian, Krishna Madhavan +1
We propose Textiverse, a big data approach for mining geotagged timestamped textual data on a map, such as for Twitter feeds, crime reports, or restaurant reviews. We use a scalabl…
Visualization According to Statisticians: An Interview Study on the Role of Visualization for Inferential Statistics
Eric Newburger, Niklas Elmqvist
Statisticians are not only one of the earliest professional adopters of data visualization, but also some of its most prolific users. Understanding how these professionals utilize…
Comparing Overlapping Data Distributions Using Visualization
Eric Newburger, Niklas Elmqvist
We present results from a preregistered and crowdsourced user study where we asked members of the general population to determine whether two samples represented using different fo…
Portrayal: Leveraging NLP and Visualization for Analyzing Fictional Characters
Md Naimul Hoque, Bhavya Ghai, Kari Kraus +1
Many creative writing tasks (e.g., fiction writing) require authors to write complex narrative components (e.g., characterization, events, dialogue) over the course of a long story…
Dataopsy: Scalable and Fluid Visual Exploration using Aggregate Query Sculpting
Md Naimul Hoque, Niklas Elmqvist
We present aggregate query sculpting (AQS), a faceted visual query technique for large-scale multidimensional data. As a "born scalable" query technique, AQS starts visualization w…
Towards Visualization Thumbnail Designs that Entice Reading Data-driven Articles
Hwiyeon Kim, Joohee Kim, Yunha Han +6
As online news increasingly include data journalism, there is a corresponding increase in the incorporation of visualization in article thumbnail images. However, little research e…
Perceptual Pat: A Virtual Human System for Iterative Visualization Design
Sungbok Shin, Sanghyun Hong, Niklas Elmqvist
Designing a visualization is often a process of iterative refinement where the designer improves a chart over time by adding features, improving encodings, and fixing mistakes. How…
Gatherplot: A Non-Overlapping Scatterplot
Deokgun Park, Sung-Hee Kim, Niklas Elmqvist
Scatterplots are a common tool for exploring multidimensional datasets, especially in the form of scatterplot matrices (SPLOMs). However, scatterplots suffer from overplotting when…
Fitting Bell Curves to Data Distributions using Visualization
Eric Newburger, Michael Correll, Niklas Elmqvist
Idealized probability distributions, such as normal or other curves, lie at the root of confirmatory statistical tests. But how well do people understand these idealized curves? In…
CoronaViz: Visualizing Multilayer Spatiotemporal COVID-19 Data with Animated Geocircles
Brian Ondov, Harsh B. Patel, Ai-Te Kuo +5
While many dashboards for visualizing COVID-19 data exist, most separate geospatial and temporal data into discrete visualizations or tables. Further, the common use of choropleth…
DataTV: Streaming Data Videos for Storytelling
Zhenpeng Zhao, Niklas Elmqvist
Data videos -- motion graphics that incorporate visualizations -- have been recognized as an effective way to communicate ideas, but creating such video requires both time and expe…
Code Code Evolution: Understanding How People Change Data Science Notebooks Over Time
Deepthi Raghunandan, Aayushi Roy, Shenzhi Shi +2
Sensemaking is the iterative process of identifying, extracting, and explaining insights from data, where each iteration is referred to as the "sensemaking loop." Although recent w…
DramatVis Personae: Visual Text Analytics for Identifying Social Biases in Creative Writing
Md Naimul Hoque, Bhavya Ghai, Niklas Elmqvist
Implicit biases and stereotypes are often pervasive in different forms of creative writing such as novels, screenplays, and children's books. To understand the kind of biases write…
Lodestar: Supporting Independent Learning and Rapid Experimentation Through Data-Driven Analysis Recommendations
Deepthi Raghunandan, Zhe Cui, Kartik Krishnan +5
Keeping abreast of current trends, technologies, and best practices in visualization and data analysis is becoming increasingly difficult, especially for fledgling data scientists.…
The Stories We Tell About Data: Media Types for Data-Driven Storytelling
Zhenpeng Zhao, Niklas Elmqvist
The emerging practice of data-driven storytelling is framing data using familiar narrative mechanisms such as slideshows, videos, and comics to make even highly complex phenomena u…
Once Upon A Time In Visualization: Understanding the Use of Textual Narratives for Causality
Arjun Choudhry, Mandar Sharma, Pramod Chundury +4
Causality visualization can help people understand temporal chains of events, such as messages sent in a distributed system, cause and effect in a historical conflict, or the inter…
Route Packing: Geospatially-Accurate Visualization of Route Networks
Jieqiong Zhao, Morteza Karimzadeh, Hanye Xu +5
We present route packing, a novel (geo)visualization technique for displaying several routes simultaneously on a geographic map while preserving the geospatial layout, identity, di…
Common Fate for Animated Transitions in Visualization
Amira Chalbi, Jacob Ritchie, Deokgun Park +4
The Law of Common Fate from Gestalt psychology states that visual objects moving with the same velocity along parallel trajectories will be perceived by a human observer as grouped…
DataSite: Proactive Visual Data Exploration with Computation of Insight-based Recommendations
Zhe Cui, Sriram Karthik Badam, Adil Yalçin +1
Effective data analysis ideally requires the analyst to have high expertise as well as high knowledge of the data. Even with such familiarity, manually pursuing all potential hypot…