In this paper we present observers with point patterns based on 30 major star constellations and ask them to connect the points to show the structure they perceive. The resulting empirical structures had a high inter-rater reliability and a high degree of overlap with constellation structures recorded in star atlases, suggesting that the perception of structure in point patterns is largely invariant across individuals. Further, we demonstrate that the empirical structures correspond closely with the structures developed in the field of relational geometry. We discuss the results of the experiment in light of previous findings and suggest a number of potential approaches to formally modeling human performance on clustering tasks
This article presents an empirical user study that compares eight multidimensional projection techni...
Many graph layout algorithms optimize visual characteristics to achieve useful representations. Impl...
Animals can perceive the numerosity of sets of visual elements. Qualitative and quantitative similar...
In this paper we present observers with point patterns based on 30 major star constellations and ask...
In this paper we present observers with point patterns based on 30 major star constellations and ask...
<div><p>It has been suggested that the map-like representations that support human spatial memory ar...
International audienceNowadays, an abundance of sensors are used to collect very large da-tasets con...
International audienceUnderstanding the structure of relationships between ...
Context. There are a number of methods that identify stellar sub-structure in star forming regions, ...
Visual quality metrics have been recently devised to automatically extract interesting visual projec...
Some years ago we proposed a new approach to the analysis of galaxy and cluster correlations based o...
Context. There are a number of methods that identify stellar sub-structure in star forming regions, ...
We propose an algorithm that groups points similarly to how human observers do. It is simple, totall...
Some years ago we proposed a new approach to the analysis of galaxy and cluster correlations based o...
We propose an algorithm that groups points similarly to how human observers do. It is simple, totall...
This article presents an empirical user study that compares eight multidimensional projection techni...
Many graph layout algorithms optimize visual characteristics to achieve useful representations. Impl...
Animals can perceive the numerosity of sets of visual elements. Qualitative and quantitative similar...
In this paper we present observers with point patterns based on 30 major star constellations and ask...
In this paper we present observers with point patterns based on 30 major star constellations and ask...
<div><p>It has been suggested that the map-like representations that support human spatial memory ar...
International audienceNowadays, an abundance of sensors are used to collect very large da-tasets con...
International audienceUnderstanding the structure of relationships between ...
Context. There are a number of methods that identify stellar sub-structure in star forming regions, ...
Visual quality metrics have been recently devised to automatically extract interesting visual projec...
Some years ago we proposed a new approach to the analysis of galaxy and cluster correlations based o...
Context. There are a number of methods that identify stellar sub-structure in star forming regions, ...
We propose an algorithm that groups points similarly to how human observers do. It is simple, totall...
Some years ago we proposed a new approach to the analysis of galaxy and cluster correlations based o...
We propose an algorithm that groups points similarly to how human observers do. It is simple, totall...
This article presents an empirical user study that compares eight multidimensional projection techni...
Many graph layout algorithms optimize visual characteristics to achieve useful representations. Impl...
Animals can perceive the numerosity of sets of visual elements. Qualitative and quantitative similar...