How Similarity Shapes Diagrams
نویسنده
چکیده
Most diagrams communicate effectively despite the fact that diagrams as a group have a minium of conventions and a high tolerance for novelty. This paper proposes that the diversity and felicity of diagrammatic representation is based on three kinds of similarity between semantic propositions and spatial representations that allow people to interpret diagrams consistently with a minimum of effort and training. Iconicity is similarity of physical appearance, polarity is similarity in the positive and negative structure of dimensions, and relational similarity aligns structures so that elements correspond to elements, relations correspond to relations, and so on. In diagrammatic reasoning detected similarities are used to create correspondences between the visual characteristics of a diagram and its semantic meaning, and those correspondences are in turn used to make inferences about unknown or underspecified meanings. 1 Diagrams Represent Many Kinds of Relations in Many Kinds of Ways Diagrams represent many kinds of relations – some spatial, some nonspatial, and some a mix between the two. Diagrams have been used to record activities, ownership, and places (see Tversky, 2001 for a review). Diagrams communicate what has happened in the past, what someone has in mind at the moment, which activities are or are not allowed in a particular place, and what may be expected to happen along a particular stretch of the road. Diagrams sometimes include text, sometimes include conventionalized visual symbols, and sometimes contain novel or unconventional representations. Thus as a group, diagrams seem to function like one of those clubs that lets nearly everyone inside. Perhaps the only necessary conditions for diagrams are 1) that they convey meaning, and 2) that they do so visuospatially. Unrestricted membership and lack of conventions may be a fine way to run a social club, but in a communication system it normally leads to misunderstanding and confusion. One very special characteristic of diagrams is that most diagrams communicate effectively despite the modicum of conventions and the high tolerance for novelty among diagrams as a group. One indicator that diagrams do communicate effectively is that diagrams are often the default communication device for multilingual contexts in which people are likely to need to know something or say something, but do not share a common language that would enable them to do so. Airports, highways, and ports are full of diagrams that communicate things like “This is where you buy a ticket,” “This is where you change money,” and “Do not stand on
منابع مشابه
Persistent homology and partial similarity of shapes
The ability to perform shape retrieval based not only on full similarity, but also partial similarity is a key property for any content-based search engine. We prove that persistence diagrams can reveal a partial similarity between two shapes by showing a common subset of points. This can be explained using the MayerVietoris formulas that we develop for ordinary, relative and extended persisten...
متن کاملThe operad of wiring diagrams: formalizing a graphical language for databases, recursion, and plug-and-play circuits
Wiring diagrams, as seen in digital circuits, can be nested hierarchically and thus have an aspect of self-similarity. We show that wiring diagrams form the morphisms of an operad T , capturing this self-similarity. We discuss the algebra Rel of mathematical relations on T , and in so doing use wiring diagrams as a graphical language with which to structure queries on relational databases. We g...
متن کاملCreating the Perception-based LADDER sketch recognition language Citation
Sketch recognition is automated understanding of handdrawn diagrams. Current sketch recognition systems exist for only a handful of domains, which contain on the order of 10-20 shapes. Our goal was to create a generalized method for recognition that could work for many domains, increasing the number of shapes that could be recognized in real-time, while maintaining a high accuracy. In an effort...
متن کاملProbabilistic similarity networks
I address practical issues concerning the construction of normative expert systems, and examine the influence diagram as a potential framework for representing knowledge in such systems. I introduce an extension of the influence-diagram representation called a similarity network. A similarity network is a tool for constructing large and complex influence diagrams. The representation allows a us...
متن کاملDrawing Area-Proportional Venn-3 Diagrams with Convex Polygons
Area-proportional Venn diagrams are a popular way of visualizing the relationships between data sets, where the set intersections have a specified numerical value. In these diagrams, the areas of the regions are in proportion to the given values. Venn-3, the Venn diagram consisting of three intersecting curves, has been used in many applications, including marketing, ecology and medicine. Whils...
متن کامل