@inproceedings{4366389874b946f98c24e224da210c19,
title = "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/?view-only= 594baee54d114a99ab381886fb32a126.",
keywords = "Autocomplete, Human-centered computing, Visualization, automation, constructive visualization, design, expressivity, physicalization, visualization authoring",
author = "Wei Wei and Samuel Huron and Yvonne Jansen",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Visualization Conference, VIS 2023 ; Conference date: 22-10-2023 Through 27-10-2023",
year = "2023",
month = jan,
day = "1",
doi = "10.1109/VIS54172.2023.00037",
language = "English",
series = "Proceedings - 2023 IEEE Visualization Conference - Short Papers, VIS 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "141--145",
booktitle = "Proceedings - 2023 IEEE Visualization Conference - Short Papers, VIS 2023",
}