Deimos: A Grammar of Dynamic Embodied Immersive Visualisation Morphs and Transitions

要旨

We present Deimos, a grammar for specifying dynamic embodied immersive visualisation morphs and transitions. A morph is a collection of animated transitions that are dynamically applied to immersive visualisations at runtime and is conceptually modelled as a state machine. It is comprised of state, transition, and signal specifications. States in a morph are used to generate animation keyframes, with transitions connecting two states together. A transition is controlled by signals, which are composable data streams that can be used to enable embodied interaction techniques. Morphs allow immersive representations of data to transform and change shape through user interaction, facilitating the embodied cognition process. We demonstrate the expressivity of Deimos in an example gallery and evaluate its usability in an expert user study of six immersive analytics researchers. Participants found the grammar to be powerful and expressive, and showed interest in drawing upon Deimos’ concepts and ideas in their own research.

著者
Benjamin Lee
Monash University, Melbourne, Australia
Arvind Satyanarayan
MIT, Cambridge, Massachusetts, United States
Maxime Cordeil
The University Of Queensland, Brisbane, Australia
Arnaud Prouzeau
Inria, Bordeaux, France
Bernhard Jenny
Monash University, Melbourne, Australia
Tim Dwyer
Monash University, Melbourne, Australia
論文URL

https://doi.org/10.1145/3544548.3580754

動画

会議: CHI 2023

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2023.acm.org/)

セッション: Visualization Grammars and Design

Room X11+X12
6 件の発表
2023-04-26 20:10:00
2023-04-26 21:35:00