Towards Understanding Collaborative Visual Data Analysis in Multi-Device Environments

October 20th, 2019

Categories: Applications, Devices, Human Factors, Software, User Groups, Visualization, Visual Analytics, Visual Informatics, Human Computer Interaction (HCI), Data Science

Illustration of the study setup.
Illustration of the study setup.


Alsaiari, A., Johnson, A.


There is a steadily growing interest in leveraging ecosystems of digital devices that go beyond a single desktop for visual data analysis and exploration. However, multi-device ecologies pose several challenges as information and tasks are scattered among separate devices and displays. To understand the challenges associated with multi-device environments for information visualization, we performed an exploratory study designed to examine how users employ different tools to perform different kinds of activities in approaching a visual analysis task. Previous work examined three factors (users, tools, and tasks) independently. We study the synthesis of these factors. To do this, we adopted a hybrid analysis approach that focuses on three different aspects: users, tools, and tasks. We believe this analysis will help us identify associated challenges and better inform design goals in developing multi-device tools for visual data analysis.

Keywords: Collaborative visual analytics, exploratory analysis, multi-device ecology





Alsaiari, A., Johnson, A., Towards Understanding Collaborative Visual Data Analysis in Multi-Device Environments, IEEE VIS 2019, Vancouver, BC, Canada, October 20th, 2019.