Interactive dynamics for visual analysis
By Jeffrey Heer, Ben Shneiderman. Communications of the ACM, 2012
643 citations recorded by the source corpus.
A taxonomy of tools that support the fluent and flexible use of visualizations.
Subfields: Computer Vision and Pattern Recognition, Signal Processing
View Paper: https://www.semanticscholar.org/paper/5165892db17e11e588f90c2851a20eaa4be36371
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Ming-Hsuan Yang
- Luc Van Gool
- Phillip Isola
- Hanspeter Pfister
- Andrew Zisserman
- Trevor Darrell
- Li Fei-Fei
- Dacheng Tao
In Signal Processing
- Parikshit Ram
- Tamara Munzner
- Hanspeter Pfister
- Zhicheng Liu
- Michael J. Muller
- Dakuo Wang
- Matthew Brehmer
- Amy X. Zhang
Citations in the corpus
- The Effects of Interactive Latency on Exploratory Visual Analysis (2014, background): “One stated goal of interactive visualization is to enable data analysis at “rates resonant with the pace of human thought” [19, 20].”
- Human-AI Collaboration in Data Science (2019, background): “The exploratory nature of data science work often uses visual analytics, sometimes in a group setting [25].”
- What Makes a Visualization Memorable? (2013, background): “There is also recent work on taxonomies for interactive visualizations and the additional tasks they enable [16, 17, 33, 35].”
- Voyager 2: Augmenting Visual Analysis with Partial View Specifications (2017, methodology): “Exploratory visual analysis is an iterative process that involves both open-ended exploration and focused analysis [10, 11, 30].”
- Vega-Lite: A Grammar of Interactive Graphics (2018, background): “Abstracting data models, graphical marks, visual encoding channels, scales and guides (i.e., axes and leg-ends) yields a more expressive design space, and allows analysts to rapidly construct graphics for exploratory analysis [13].”
- Voyager: Exploratory Analysis via Faceted Browsing of Visualization Recommendations (2016, neutral): “In either exploratory search or EDA, people may be unfamiliar with the resources at hand (e.g., specific datasets), in the midst of forming goals, or unsure about how to best achieve their goals.”
- How do Data Science Workers Collaborate? Roles, Workflows, and Tools (2020, background): “Data science is engaged as an “exploration” process more than an “engineering” process [40, 50, 67].”
- imMens: Real‐time Visual Querying of Big Data (2013, background): “Interaction is essential to exploratory visual analysis [HS12], but big data imposes challenges to real-time response rates.”
- A Multi-Level Typology of Abstract Visualization Tasks (2013, background): “Heer and Shneiderman (2012) [23]: Their taxonomy of interaction dynamics provides a top-level distinction between data-, view-, and process-centric tasks.”