An Automated Approach to Reasoning About Task-Oriented Insights in Responsive Visualization

07/16/2021
by   Hyeok Kim, et al.
0

Authors often transform a large screen visualization for smaller displays through rescaling, aggregation and other techniques when creating visualizations for both desktop and mobile devices (i.e., responsive visualization). However, transformations can alter relationships or patterns implied by the large screen view, requiring authors to reason carefully about what information to preserve while adjusting their design for the smaller display. We propose an automated approach to approximating the loss of support for task-oriented visualization insights (identification, comparison, and trend) in responsive transformation of a source visualization. We operationalize identification, comparison, and trend loss as objective functions calculated by comparing properties of the rendered source visualization to each realized target (small screen) visualization. To evaluate the utility of our approach, we train machine learning models on human ranked small screen alternative visualizations across a set of source visualizations. We find that our approach achieves an accuracy of 84 ranking visualizations. We demonstrate this approach in a prototype responsive visualization recommender that enumerates responsive transformations using Answer Set Programming and evaluates the preservation of task-oriented insights using our loss measures. We discuss implications of our approach for the development of automated and semi-automated responsive visualization recommendation.

READ FULL TEXT

page 2

page 3

page 4

page 6

page 7

page 9

page 10

page 11

research
03/15/2022

Cicero: A Declarative Grammar for Responsive Visualization

Designing responsive visualizations can be cast as applying transformati...
research
04/15/2021

Design Patterns and Trade-Offs in Responsive Visualization for Communication

Increased access to mobile devices motivates the need to design communic...
research
07/09/2019

A Comparative Evaluation of Animation and Small Multiples for Trend Visualization on Mobile Phones

We compare the efficacy of animated and small multiples variants of scat...
research
05/27/2015

Prototyping Information Visualization in 3D City Models: a Model-based Approach

When creating 3D city models, selecting relevant visualization technique...
research
08/09/2023

Dupo: A Mixed-Initiative Authoring Tool for Responsive Visualization

Designing responsive visualizations for various screen types can be tedi...
research
05/29/2017

On the "Calligraphy" of Books

Authorship attribution is a natural language processing task that has be...
research
06/14/2023

Chart2Vec: A Universal Embedding of Context-Aware Visualizations

The advances in AI-enabled techniques have accelerated the creation and ...

Please sign up or login with your details

Forgot password? Click here to reset