Deimos: A grammar of dynamic embodied immersive visualisation morphs and transitions

Benjamin Lee; Arvind Satyanarayan; Maxime Cordeil; Arnaud Prouzeau; Bernhard Jenny; Tim Dwyer

doi:10.1145/3544548.3580754

Deimos: A grammar of dynamic embodied immersive visualisation morphs and transitions

Benjamin Lee, Arvind Satyanarayan, Maxime Cordeil, Arnaud Prouzeau, Bernhard Jenny, Tim Dwyer

Department of Human Centred Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

15 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
Editors	Stephanie Mueller, Julie R. Williamson, Max L. Wilson
Place of Publication	New York NY USA
Publisher	Association for Computing Machinery (ACM)
Number of pages	18
ISBN (Electronic)	9781450394215
DOIs	https://doi.org/10.1145/3544548.3580754
Publication status	Published - 2023
Event	International Conference on Human Factors in Computing Systems 2023 - , Germany Duration: 23 Apr 2023 → 28 Apr 2023 https://chi2023.acm.org/ (Website) https://dl.acm.org/doi/proceedings/10.1145/3544548 (Proceedings)

Conference

Conference	International Conference on Human Factors in Computing Systems 2023
Abbreviated title	CHI 2023
Country/Territory	Germany
Period	23/04/23 → 28/04/23
Internet address	https://chi2023.acm.org/ (Website) https://dl.acm.org/doi/proceedings/10.1145/3544548 (Proceedings)

Keywords

animated transitions
data visualisation
embodied interaction
grammar
Immersive Analytics
user study

Access to Document

10.1145/3544548.3580754

Cite this

Lee, B., Satyanarayan, A., Cordeil, M., Prouzeau, A., Jenny, B., & Dwyer, T. (2023). Deimos: A grammar of dynamic embodied immersive visualisation morphs and transitions. In S. Mueller, J. R. Williamson, & M. L. Wilson (Eds.), Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems Article 810 Association for Computing Machinery (ACM). https://doi.org/10.1145/3544548.3580754

@inproceedings{20a9748712f4461186d3fb90201b6543,

title = "Deimos: A grammar of dynamic embodied immersive visualisation morphs and transitions",

abstract = "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.",

keywords = "animated transitions, data visualisation, embodied interaction, grammar, Immersive Analytics, user study",

author = "Benjamin Lee and Arvind Satyanarayan and Maxime Cordeil and Arnaud Prouzeau and Bernhard Jenny and Tim Dwyer",

note = "Publisher Copyright: {\textcopyright} 2023 ACM.; International Conference on Human Factors in Computing Systems 2023, CHI 2023 ; Conference date: 23-04-2023 Through 28-04-2023",

year = "2023",

doi = "10.1145/3544548.3580754",

language = "English",

editor = "Stephanie Mueller and \{R. Williamson\}, Julie and \{L. Wilson\}, Max",

booktitle = "Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems",

publisher = "Association for Computing Machinery (ACM)",

address = "United States of America",

url = "https://chi2023.acm.org/, https://dl.acm.org/doi/proceedings/10.1145/3544548",

}

Lee, B, Satyanarayan, A, Cordeil, M, Prouzeau, A, Jenny, B & Dwyer, T 2023, Deimos: A grammar of dynamic embodied immersive visualisation morphs and transitions. in S Mueller, J R. Williamson & M L. Wilson (eds), Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems., 810, Association for Computing Machinery (ACM), New York NY USA, International Conference on Human Factors in Computing Systems 2023, Hamburg, Germany, 23/04/23. https://doi.org/10.1145/3544548.3580754

Deimos: A grammar of dynamic embodied immersive visualisation morphs and transitions. / Lee, Benjamin; Satyanarayan, Arvind; Cordeil, Maxime et al.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. ed. / Stephanie Mueller; Julie R. Williamson; Max L. Wilson. New York NY USA: Association for Computing Machinery (ACM), 2023. 810.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - Deimos

T2 - International Conference on Human Factors in Computing Systems 2023

AU - Lee, Benjamin

AU - Satyanarayan, Arvind

AU - Cordeil, Maxime

AU - Prouzeau, Arnaud

AU - Jenny, Bernhard

AU - Dwyer, Tim

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - animated transitions

KW - data visualisation

KW - embodied interaction

KW - grammar

KW - Immersive Analytics

KW - user study

UR - http://www.scopus.com/inward/record.url?scp=85160014731&partnerID=8YFLogxK

U2 - 10.1145/3544548.3580754

DO - 10.1145/3544548.3580754

M3 - Conference Paper

AN - SCOPUS:85160014731

BT - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

A2 - Mueller, Stephanie

A2 - R. Williamson, Julie

A2 - L. Wilson, Max

PB - Association for Computing Machinery (ACM)

CY - New York NY USA

Y2 - 23 April 2023 through 28 April 2023

ER -

Lee B, Satyanarayan A, Cordeil M, Prouzeau A, Jenny B , Dwyer T. Deimos: A grammar of dynamic embodied immersive visualisation morphs and transitions. In Mueller S, R. Williamson J, L. Wilson M, editors, Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. New York NY USA: Association for Computing Machinery (ACM). 2023. 810 doi: 10.1145/3544548.3580754

Deimos: A grammar of dynamic embodied immersive visualisation morphs and transitions

Abstract

Conference

Keywords

Access to Document

Other files and links

Cite this