The current theories of graph comprehension have posited the graph schema as providing us the necessary knowledge to interpret any graph type. Yet, little is known about the nature of the graph schema, and no empirical data exist showing that there actually is a graph schema. In experiment 1 we show evidence that a graph schema does exist, and that graph schemas are not specific to each and every graph type. In experiments 2 and 3 we show that there is a different graph schema for typical and atypical graphs. We interpret these findings as evidence for a prototypical graph schema
Graphical displays are frequently used to express quantitative information in texts, but viewers are...
Graphical displays are frequently used to express quantitative information in texts, but viewers are...
An advantage of modeling data as a graph – as opposed to a relational data model – is that data grap...
Abstract. Research on graph comprehension has been concerned with relatively low-level information e...
Current models of graph understanding typically address the encoding and interpretive processes invo...
“A picture is worth 1000 words,” the adage goes, but only—I argue—if you know how to read it. The sa...
“A picture is worth 1000 words,” the adage goes, but only—I argue—if you know how to read it. The sa...
We present a model of graph understanding and describe our implementation of the model in a computer...
In this paper we examine how people represent graphical information. We present a constrained graphi...
Current theories of graph comprehension are largely silent about the processes by which inferences a...
International audienceWe investigate the problem of constructing a shape graph that describes the st...
International audienceWe investigate the problem of constructing a shape graph that describes the st...
Abstract. In this paper we argue that people construct analogical representations of the information...
Summary. A graph is a data structure composed of dots (i.e. vertices) and lines (i.e. edges). The do...
Our purpose is to bring together perspectives concerning the processing and use of statistical graph...
Graphical displays are frequently used to express quantitative information in texts, but viewers are...
Graphical displays are frequently used to express quantitative information in texts, but viewers are...
An advantage of modeling data as a graph – as opposed to a relational data model – is that data grap...
Abstract. Research on graph comprehension has been concerned with relatively low-level information e...
Current models of graph understanding typically address the encoding and interpretive processes invo...
“A picture is worth 1000 words,” the adage goes, but only—I argue—if you know how to read it. The sa...
“A picture is worth 1000 words,” the adage goes, but only—I argue—if you know how to read it. The sa...
We present a model of graph understanding and describe our implementation of the model in a computer...
In this paper we examine how people represent graphical information. We present a constrained graphi...
Current theories of graph comprehension are largely silent about the processes by which inferences a...
International audienceWe investigate the problem of constructing a shape graph that describes the st...
International audienceWe investigate the problem of constructing a shape graph that describes the st...
Abstract. In this paper we argue that people construct analogical representations of the information...
Summary. A graph is a data structure composed of dots (i.e. vertices) and lines (i.e. edges). The do...
Our purpose is to bring together perspectives concerning the processing and use of statistical graph...
Graphical displays are frequently used to express quantitative information in texts, but viewers are...
Graphical displays are frequently used to express quantitative information in texts, but viewers are...
An advantage of modeling data as a graph – as opposed to a relational data model – is that data grap...