Introduction to information visualisation

Alan Dix*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

This is a short introduction to information visualisation, which is increasingly important in many fields as information expands faster than our ability to comprehend it. Visualisation makes data easier to understand through direct sensory experience (usually visual), as opposed to more linguistic/logical reasoning. This chapter examines reasons for using information visualisation both for professional data analysts and also end-users. It will also look at some of the history of visualisation (going back 4,500 years), classic examples of information visualisations, and some current challenges for visualisation research and practice. Design of effective visualisation requires an appreciation of human perceptual, cognitive and also organisational and social factors, and the chapter discusses some of these factors and the design issues and principles arising from them.

Original languageEnglish
Title of host publicationInformation Retrieval Meets Information Visualization - PROMISE Winter School 2012, Revised Tutorial Lectures
Pages1-27
Number of pages27
DOIs
Publication statusPublished - 2013
Externally publishedYes
EventParticipative Research labOratory for Multimedia and Multilingual Information Systems Evaluation, PROMISE Winter School 2012 - Zinal, Switzerland
Duration: 23 Jan 201227 Jan 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7757 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceParticipative Research labOratory for Multimedia and Multilingual Information Systems Evaluation, PROMISE Winter School 2012
Country/TerritorySwitzerland
CityZinal
Period23/01/1227/01/12

Keywords

  • HCI
  • human-computer interaction
  • information visualisation
  • visual analytics

Cite this