Title
Individual user characteristics and information visualization: connecting the dots through eye tracking
Abstract
There is increasing evidence that users' characteristics such as cognitive abilities and personality have an impact on the effectiveness of information visualization techniques. This paper investigates the relationship between such characteristics and fine-grained user attention patterns. In particular, we present results from an eye tracking user study involving bar graphs and radar graphs, showing that a user's cognitive abilities such as perceptual speed and verbal working memory have a significant impact on gaze behavior, both in general and in relation to task difficulty and visualization type. These results are discussed in view of our long-term goal of designing information visualisation systems that can dynamically adapt to individual user characteristics.
Year
DOI
Venue
2013
10.1145/2470654.2470696
CHI
Keywords
Field
DocType
fine-grained user attention pattern,cognitive ability,information visualization technique,information visualisation system,visualization type,significant impact,eye tracking user study,individual user characteristic,bar graph,long-term goal,eye tracking,information visualization
Bar chart,Information visualization,Gaze,Computer science,Visualization,Visual analytics,Human–computer interaction,Eye tracking,Cognition,Multimedia,Perception
Conference
Citations 
PageRank 
References 
49
1.71
18
Authors
4
Name
Order
Citations
PageRank
Dereck Toker120112.03
Cristina Conati21970193.27
Ben Steichen323916.43
Giuseppe Carenini41461111.12