There has been substantial recent interest in captured design expertise expressed as design patterns. Prevalent descriptions of these design patterns suffer from two demerits. Firstly, they capture specific instances of pattern deployment, rather than the essential pattern itself, thus the spirit of the pattern is often lost in the superfluous details of the specific instances described. Second...

Humans can perceive their spatial surroundings both by the visual and the auditory senses. Even though the auditory system has much lower spatial resolution, it can still serve as an alternative or supplementary information channel for the visual modality. In this paper, we investigate the feasibility of conveying elaborate visual information by auditory patterns. A system is developed which tr...

In a recent paper, Chambers and Reisberg (1985) showed that people cannot reverse classical ambiguous figures in imagery (such OS the Necker cube, duck/ rabbit, or Schroeder staircase). In three experiments, we refute one kind of explanation for this difficulty: that visual images da not contain information about the geometry of a shape necessary for reinterpreting it or that people connot appl...

The interaction of linear and dot elements of simple visual patterns was examined. The following patterns were used: short line-dot, long line-dot, right turned angle-dot, downward angle-dot, circle-dot, and two dots. Except for circle-dot and two dots, perception of either of both elements of the composite stimulus deteriorates as compared to perception of the same elements when presented sepa...

Software development teams gather valuable data about features and bugs in issue tracking systems. This information can be used to measure and improve the efficiency and effectiveness of the development process. In this paper we present an approach that harnesses the extraordinary capability of the human brain to detect visual patterns. We specify generic visual process patterns that can be fou...

The research reported here integrates computational, visual, and cartographic methods to develop a novel geo-visual analytic strategy for exploring and understanding spatio-temporal and multivariate patterns. The developed methodology and tools can cluster, sort, and visualize large datasets and help analysts investigate complex patterns across multivariate, spatial, and temporal dimensions. Sp...

A fundamental goal of visual neuroscience is to identify the neural pathways representing different image features. It is widely argued that the early stages of these pathways represent linear features of the visual scene and that the nonlinearities necessary to represent complex visual patterns are introduced later in cortex. We tested this by comparing the responses of subcortical and cortica...

Today’s tracking devices allow high spatial and temporal resolutions and due to their decreasing size also an ever increasing number of application scenarios. However, understanding motion over time is quite difficult as soon as the resulting trajectories are getting complex. Simply plotting the data may obscure important patterns since trajectories over long time periods often include many rev...

In many applications it is of high interest to analyze spatio-temporal (ST) datasets for recurring patterns. In our approach we examine spatio-temporal datasets for movement patterns using efficient query techniques. In an iterative process combining search and interaction an expert can review search results and either draw direct conclusions and annotate the pattern or refine the search patter...

We improve current visual component composition environments by introducing composition patterns as first class objects that can be defined, stored and reused independently of the components. We document both components and composition patterns using an extended sequence diagram notation. For a component, typical usage protocols are specified while a composition pattern specifies how a set of r...