Patterns for Communicating Numerical Uncertainty

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Abstract

Uncertainty is an inherent property of all measurements, statistics, or generally all communication involving numbers. Whenever numerical data is communicated, the uncertainty or confidence in this data should also be included. Neglecting it, or communicating it in an ambiguous way, leads to misinterpretation and misunderstandings. There are some well-known and proven patterns to avoid such problems. In this paper we present a collection of patterns for the communication of numerical uncertainty. These patterns revolve around three areas of applications: textual, numerical, and graphical. For numerical representations the pattern Numbers with Uncertainties is shown. For textual descriptions Words of Estimative Probability, Numeric Hedge Words and Quantitative Comparisons are explained, and for graphical visualization Error Indicator and Distribution Plots are described. The paper is targeted towards communicators, visualizers, reporters, as well as developers, engineers, and researchers of solutions for problems which involve uncertainty.

Originalspracheenglisch
TitelProceedings of the 24th European Conference on Pattern Languages of Programs, EuroPLoP 2019
Herausgeber (Verlag)Association of Computing Machinery
Seitenumfang15
ISBN (elektronisch)9781450362061
DOIs
PublikationsstatusVeröffentlicht - Okt 2019
Veranstaltung24th European Conference on Pattern Languages of Programs: EuroPLoP 2019 - Irsee, Deutschland
Dauer: 3 Jul 20197 Jul 2019

Publikationsreihe

NameACM International Conference Proceeding Series

Konferenz

Konferenz24th European Conference on Pattern Languages of Programs
LandDeutschland
OrtIrsee
Zeitraum3/07/197/07/19

ASJC Scopus subject areas

  • Human-computer interaction
  • !!Computer Networks and Communications
  • !!Computer Vision and Pattern Recognition
  • Software

Fields of Expertise

  • Information, Communication & Computing

Treatment code (Nähere Zuordnung)

  • Application

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