Abstract
Research on graphical perception of time series visualisations has focused on visual representation, and not on interaction. Even for visual representation, there has been limited study of the impact on users of visual encodings and the strengths and weaknesses of Cartesian
and Polar coordinate systems. In order to address this research gap, we performed a comprehensive graphical perception study that measured the effectiveness of time series visualisations with different interactions, visual
encodings and coordinate systems for several tasks. Our results show that, while positional and colour visual encodings were better for most tasks, area visual encoding performed better for data comparison. Most importantly, we identified that introducing interactivity within time series
visualisations considerably enhances the user experience, without any loss of efficiency or accuracy. We believe that our findings can greatly improve the development of visual analytics tools using time series visualisations in a variety of domains.
and Polar coordinate systems. In order to address this research gap, we performed a comprehensive graphical perception study that measured the effectiveness of time series visualisations with different interactions, visual
encodings and coordinate systems for several tasks. Our results show that, while positional and colour visual encodings were better for most tasks, area visual encoding performed better for data comparison. Most importantly, we identified that introducing interactivity within time series
visualisations considerably enhances the user experience, without any loss of efficiency or accuracy. We believe that our findings can greatly improve the development of visual analytics tools using time series visualisations in a variety of domains.
| Original language | English |
|---|---|
| Title of host publication | CHI'16: 2016 CHI Conference on Human Factors in Computing Systems Proceedings |
| Publisher | Association for Computing Machinery |
| Pages | 5444-5455 |
| Number of pages | 12 |
| ISBN (Print) | 9781450333627 |
| DOIs | |
| Publication status | Published - 7 May 2016 |
| Event | 2016 CHI Conference on Human Factors in Computing Systems - San Jose, CA, United States Duration: 7 May 2016 → 12 May 2016 |
Conference
| Conference | 2016 CHI Conference on Human Factors in Computing Systems |
|---|---|
| Abbreviated title | CHI'16 |
| Country/Territory | United States |
| City | San Jose, CA |
| Period | 7/05/16 → 12/05/16 |
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Mike Just
- School of Mathematical & Computer Sciences - Associate Professor
- School of Mathematical & Computer Sciences, Computer Science - Associate Professor
Person: Academic (Research & Teaching)