Interactive Visualisation of Hierarchical Quantitative Data: an Evaluation

08/04/2019
by   Linda Woodburn, et al.
0

We have compared three common visualisations for hierarchical quantitative data, treemaps, icicle plots and sunburst charts as well as a semicircular variant of sunburst charts we call the sundown chart. In a pilot study, we found that the sunburst chart was least preferred. In a controlled study with 12 participants, we compared treemaps, icicle plots and sundown charts. Treemap was the least preferred and had a slower performance on a basic navigation task and slower performance and accuracy in hierarchy understanding tasks. The icicle plot and sundown chart had similar performance with slight user preference for the icicle plot.

READ FULL TEXT

page 2

page 4

research
03/06/2019

Seniors' Media Preference for Receiving Internet Security Information: A Pilot Study

Due to the increasing use of Internet by older adults and their low comp...
research
08/28/2019

Approximation and Hardness of Shift-Bribery

In the Shift-Bribery problem we are given an election, a preferred candi...
research
04/03/2023

Data-graph repairs: the preferred approach

Repairing inconsistent knowledge bases is a task that has been assessed,...
research
09/19/2019

Human-In-The-Loop Learning of Qualitative Preference Models

In this work, we present a novel human-in-the-loop framework to help the...
research
09/03/2009

On Planning with Preferences in HTN

In this paper, we address the problem of generating preferred plans by c...
research
08/01/2019

Evaluating an Immersive Space-Time Cube Geovisualization for Intuitive Trajectory Data Exploration

A Space-Time Cube enables analysts to clearly observe spatio-temporal fe...
research
06/02/2010

Learning Probabilistic Hierarchical Task Networks to Capture User Preferences

We propose automatically learning probabilistic Hierarchical Task Networ...

Please sign up or login with your details

Forgot password? Click here to reset