Visualizing Ranges over Time on Mobile Phones: A Task-Based Crowdsourced Evaluation

Abstract : In the first crowdsourced visualization experiment conducted exclusively on mobile phones, we compare approaches to visualizing ranges over time on small displays. People routinely consume such data via a mobile phone, from temperatures in weather forecasting apps to sleep and blood pressure readings in personal health apps. However, we lack guidance on how to effectively visualize ranges on small displays in the context of different value retrieval and comparison tasks, or with respect to different data characteristics such as periodicity, seasonality, or the cardinality of ranges. Central to our experiment is a comparison between two ways to lay out ranges: a more conventional linear layout strikes a balance between quantitative and chronological scale resolution, while a less conventional radial layout emphasizes the cyclicality of time and may prioritize discrimination between values at its periphery. With results from 87 crowd workers, we found that while participants completed tasks more quickly with linear layouts than with radial ones, there were few differences in terms of error rate between layout conditions. We also found that participants performed similarly with both layouts in tasks that involved comparing superimposed observed and average ranges.
Document type :
Journal articles
Complete list of metadatas

Cited literature [55 references]  Display  Hide  Download

https://hal.inria.fr/hal-01857469
Contributor : Petra Isenberg <>
Submitted on : Thursday, August 16, 2018 - 11:59:19 AM
Last modification on : Wednesday, October 16, 2019 - 12:01:32 PM
Long-term archiving on : Saturday, November 17, 2018 - 1:05:42 PM

File

_InfoVis_2018__Slumber_Party(4...
Files produced by the author(s)

Identifiers

Collections

Citation

Matthew Brehmer, Bongshin Lee, Petra Isenberg, Eun Choe. Visualizing Ranges over Time on Mobile Phones: A Task-Based Crowdsourced Evaluation. IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers, 2019, 25, pp.619-629. ⟨10.1109/TVCG.2018.2865234⟩. ⟨hal-01857469⟩

Share

Metrics

Record views

620

Files downloads

447