A useful starting point for designing advanced graphical user interfaces is the visual information seeking Mantra: overview first, zoom and filter, then details on demand. But this is only a starting point in trying to understand the rich and varied set of information visualizations that have been proposed in recent years. The paper offers a task by data type taxonomy with seven data types (one, two, three dimensional data, temporal and multi dimensional data, and tree and network data) and seven tasks (overview, zoom, filter, details-on-demand, relate, history, and extracts).

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The eyes have it: a task by data type taxonomy for information visualizations

語用論(Pragmatics)を考える

A wide variety of media can be used in learning, including distance learning, such as print, lectures, conference sections, tutors, pictures, video, sound, and computers. Any one instance of distance learning will make choices among these media, perhaps using several.

Multimedia in Learning

The Visual Display of Quantitative Information

This is a survey on graph visualization and navigation techniques, as used in information visualization. Graphs appear in numerous applications such as Web browsing, state-transition diagrams, and data structures. The ability to visualize and to navigate in these potentially large, abstract graphs is often a crucial part of an application. Information visualization has specific requirements, which means that this survey approaches the results of traditional graph drawing from a different perspective.

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Graph visualization and navigation in information visualization: A survey

An automatic presentation system is an intelligent interface component which receives information from a user or application program and designs a combination of graphics and text that effectively conveys it. It is a facility that assumes the presentation responsibilities for other programs. An important research question has been how information should be specified or described by an application program for it to be presented by an automatic presenter. This paper proposes a taxonomy of information characteristics which would need to be provided to either human or computer designers for them to create presentations reflecting the individual needs of a diverse group of users. The proposed taxonomy of characteristics defines the representational goals for intelligent interfaces which reason about graphical displays.

Data characterization for intelligent graphics presentation

We present three novel tools for creating data graphics: (1) SageBrush, for assembling graphics from primitive objects like bars, lines and axes, (2) SageBook, for browsing previously created graphics relevant to current needs, and (3) SAGE, a knowledge-based presentation system that automatically designs graphics and also interprets a user's specifications conveyed with the other tools The combination of these tools supports two complementary processes in a single environment: design as a constructive process of selecting and arranging graphical elements, and design as a process of browsing and customizing previous cases SAGE enhances userdirected design by completing partial specifications, by retrieving previously created graphics based on their appearance and data content, by creating the novel displays that users specify, and by designing alternatives when users request them Our approach was to propose interfaces employing styles of interaction that appear to support graphic design Knowledge-based techniques were then applied to enable the interfaces and enhance their usability

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Interactive graphic design using automatic presentation knowledge

In this paper we present a new set of interactive techniques for 2D and 3D visualizations. This set of techniques is called SDM (Selective Dynamic Manipulation). Selective, indicating our goal for providing a high degree of user control in selecting an object set, in selecting interactive techniques and the properties they affect, and in the degree to which a user action affects the visualization. Dynamic, indicating that the interactions all occur in real-time and that interactive animation is used to provide better contextual information to users in response to an action or operation. Manipulation, indicating the types of interactions we provide, where users can directly move objects and transform their appearance to perform different tasks. While many other approaches only provide interactive techniques in isolation, SDM supports a suite of techniques which users can combine to solve a wide variety of problems.

SDM: selective dynamic manipulation of visualizations

The problem of creating effective computer displays of data contained in large information systems is addressed. The authors describe SAGE, an intelligent system which assumes presentation responsibilities for other systems by automatically creating graphical displays which express the results they generate. They describe SAGE's architecture and the methods by which it creates presentations. Implementing SAGE required identifying and representing a larger set of task and data characteristics than had been explored previously. The authors also describe several prototypical decision support and management systems which use SAGE in different ways to support the presentation needs of end users and system developers. >

Automating the presentation of information

In this paper we propose a framework that combines the functionality of data exploration and automatic presentation systems to create a knowledge-based interactive data exploration system. The purpose of a data exploration system is to enable users to uncover and extract relationships hidden in large data sets. The purpose of an automatic presentation system is to reduce the need for users to have graphic design expertise and for them to spend a lot of time interacting with graphics packages to view their data. Previous work on data exploration was limited to query mechanisms that were often complex to learn and difficult to use, data manipulation mechanisms that did not provide complete coverage of the operations needed by users (especially the ability to form ad hoc groupings of data), and graphics that were restricted to a small set of predefined visualizations. Automatic presentation research, although addressing these issues, has been limited to the display of small data sets. Furthermore, this research has not supported interactive, user-directed processes of design and data manipulation in automatic presentation systems. We propose a framework that overcomes these limitations of current data exploration systems and integrates new interactive capabilities with automatic presentation components. This approach to supporting data exploration integrates recent work on SageTools, an environment for interactive and automatic presentation design, with a prototypical interactive data manipulation system called IDES. In this paper we present our work on the IDES data manipulation capabilities and discuss requirements for coordinating them with automatic presentation of large data sets.

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Joe Mattis

Papers

Data characterization for intelligent graphics presentation

Interactive graphic design using automatic presentation knowledge

SDM: selective dynamic manipulation of visualizations

Automating the presentation of information

A Framework for Knowledge-based, Interactive Data Exploration