Towards Autocomplete Strategies for Visualization Construction - Equipe Design, Interaction, Visualization and Applications
Conference Papers Year : 2023

Towards Autocomplete Strategies for Visualization Construction

Abstract

Constructive visualization uses physical data units - tokens - to enable non-experts to create personalized visualizations engagingly. However, its physical nature limits efficiency and scalability. One potential solution to address this issue is autocomplete. By providing automated suggestions while still allowing for manual intervention, autocomplete can expedite visualization construction while maintaining expressivity. We conduct a speculative design study to examine how people would like to interact with a visualization authoring system that supports autocomplete. Our study identifies three types of autocomplete strategies and gains insights for designing future visualization authoring tools with autocomplete functionality. A free copy of this paper and all supplemental materials are available on our online repository: https://osf.io/nu4z3.
Fichier principal
Vignette du fichier
AutoCompleteVIS23.pdf (3.49 Mo) Télécharger le fichier
Origin Files produced by the author(s)

Dates and versions

hal-04394592 , version 1 (15-01-2024)

Licence

Identifiers

Cite

Wei Wei, Samuel Huron, Yvonne Jansen. Towards Autocomplete Strategies for Visualization Construction. VIS 2023 - IEEE Visualization and Visual Analytics, IEEE, Oct 2023, Melbourne, Australia. pp.141--145, ⟨10.1109/vis54172.2023.00037⟩. ⟨hal-04394592⟩
463 View
66 Download

Altmetric

Share

More