Evaluating the Effect of Timeline Shape on Visualization Task Performance
| dc.contributor.author | Di Bartolomeo, Sara | |
| dc.contributor.author | Pandey, Aditeya | |
| dc.contributor.author | Leventidis, Aristotelis | |
| dc.contributor.author | Saffo, David | |
| dc.contributor.author | Syeda, Uzma Haque | |
| dc.contributor.author | Carstensdottir, Elin | |
| dc.contributor.author | Seif El-Nasr, Magy | |
| dc.contributor.author | Borkin, Michelle A. | |
| dc.contributor.author | Dunne, Cody | |
| dc.contributor.department | Department of Computer Science | |
| dc.date.accessioned | 2026-11-11T09:46:01Z | |
| dc.date.available | 2026-11-11T09:46:01Z | |
| dc.date.issued | 2020-04-21 | |
| dc.description | Publisher Copyright: © 2020 ACM. | en |
| dc.description.abstract | Timelines are commonly represented on a horizontal line, which is not necessarily the most effective way to visualize temporal event sequences. However, few experiments have evaluated how timeline shape influences task performance. We present the design and results of a controlled experiment run on Amazon Mechanical Turk (n=192) in which we evaluate how timeline shape affects task completion time, correctness, and user preference. We tested 12 combinations of 4 shapes - - horizontal line, vertical line, circle, and spiral A- and 3 data types A- recurrent, non-recurrent, and mixed event sequences. We found good evidence that timeline shape meaningfully affects user task completion time but not correctness and that users have a strong shape preference. Building on our results, we present design guidelines for creating effective timeline visualizations based on user task and data types. A free copy of this paper, the evaluation stimuli and data, and code are available https://osf.io/qr5yu/ | en |
| dc.description.version | Peer reviewed | en |
| dc.format.extent | 1247683 | |
| dc.format.extent | ||
| dc.format.extent | ||
| dc.identifier.citation | Di Bartolomeo, S, Pandey, A, Leventidis, A, Saffo, D, Syeda, U H, Carstensdottir, E, Seif El-Nasr, M, Borkin, M A & Dunne, C 2020, Evaluating the Effect of Timeline Shape on Visualization Task Performance. in CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems., 3376237, Conference on Human Factors in Computing Systems - Proceedings, Association for Computing Machinery, 2020 ACM CHI Conference on Human Factors in Computing Systems, CHI 2020, Honolulu, United States, 25/04/20. https://doi.org/10.1145/3313831.3376237 | en |
| dc.identifier.citation | conference | en |
| dc.identifier.doi | 10.1145/3313831.3376237 | |
| dc.identifier.isbn | 9781450367080 | |
| dc.identifier.other | 251597420 | |
| dc.identifier.other | 45d9adec-a97d-49cf-9aeb-b86fce6bf794 | |
| dc.identifier.other | 85091280783 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.11815/9058 | |
| dc.language.iso | en | |
| dc.publisher | Association for Computing Machinery | |
| dc.relation.ispartofseries | CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems; () | en |
| dc.relation.ispartofseries | Conference on Human Factors in Computing Systems - Proceedings; () | en |
| dc.relation.url | https://www.scopus.com/pages/publications/85091280783 | en |
| dc.rights | info:eu-repo/semantics/openAccess | en |
| dc.subject | controlled experiments | en |
| dc.subject | information visualization | en |
| dc.subject | temporal event sequences | en |
| dc.subject | timelines | en |
| dc.subject | Software | en |
| dc.subject | Human-Computer Interaction | en |
| dc.subject | Computer Graphics and Computer-Aided Design | en |
| dc.title | Evaluating the Effect of Timeline Shape on Visualization Task Performance | en |
| dc.type | /dk/atira/pure/researchoutput/researchoutputtypes/contributiontobookanthology/conference | en |
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