Exploring the Impacts of Aspect Ratios on Visual Perception in Scatterplots
| dc.contributor.author | Shen, Zhen | en |
| dc.contributor.committeechair | Yang, Yalong | en |
| dc.contributor.committeemember | McCrickard, Donald Scott | en |
| dc.contributor.committeemember | North, Christopher L. | en |
| dc.contributor.department | Computer Science and Applications | en |
| dc.date.accessioned | 2023-07-28T08:04:27Z | en |
| dc.date.available | 2023-07-28T08:04:27Z | en |
| dc.date.issued | 2023-06-23 | en |
| dc.description.abstract | This thesis investigates the effect of aspect ratio on visual perception in scatterplots. Four tasks explored how the aspect ratio affects participants' perception of distance, amount, and correlation in scatterplots. The results showed that square aspect ratio scatterplots are more suitable for detecting length and number, while rectangular aspect ratio scatterplots are better for detecting correlation. In addition, the JND (Just Noticeable Difference) was used in evaluating the visual perception of scatterplots in this experiment. The findings of this study have important implications for the design of scatterplots in data visualization, as well as for future research on visual perception in data visualization. | en |
| dc.description.abstractgeneral | This thesis focuses on understanding how the aspect ratio of scatterplots affects how people perceive data. Scatterplots are graphs that display data points on two variables, allowing researchers to identify relationships between variables visually. The aspect ratio of a scatterplot refers to the percentage of its width to height. This study found that people are better at detecting distances and amounts in scatterplots with a square aspect ratio. In contrast, they better see scatterplot correlations with a rectangular aspect ratio. The results suggest that the aspect ratio of a scatterplot plays a critical role in how people perceive and interpret data. These findings are essential for researchers, analysts, and designers who want to create compelling and accurate data visualizations. | en |
| dc.description.degree | Master of Science | en |
| dc.format.medium | ETD | en |
| dc.identifier.other | vt_gsexam:37906 | en |
| dc.identifier.uri | http://hdl.handle.net/10919/115897 | en |
| dc.language.iso | en | en |
| dc.publisher | Virginia Tech | en |
| dc.rights | In Copyright | en |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
| dc.subject | Visualization | en |
| dc.subject | Scatterplot | en |
| dc.subject | Human-computer Interaction | en |
| dc.subject | Aspect Ratio | en |
| dc.subject | Visual Perception | en |
| dc.title | Exploring the Impacts of Aspect Ratios on Visual Perception in Scatterplots | en |
| dc.type | Thesis | en |
| thesis.degree.discipline | Computer Science and Applications | en |
| thesis.degree.grantor | Virginia Polytechnic Institute and State University | en |
| thesis.degree.level | masters | en |
| thesis.degree.name | Master of Science | en |