数据图中的典型效应

IF 1.2 2区文学 Q3 COMMUNICATION

Visual Communication Pub Date : 2022-11-14 DOI:10.1177/14703572221130445

Daniel Reimann, Marie Struwe, Nilam Ram, R. Gaschler

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引用次数: 1

摘要

有些类型的数据图比其他类型的更容易理解。基于典型遇到的图形可以快速激活个体的认知图式的观点，本研究考察了三种常见图形类型的先验接触及其典型性:垂直条形图、水平条形图和线形图;还有三种常见的数据模式:上升、中性和下降。来自两个样本(N = 57和N = 30)的结果表明，垂直柱状图比水平柱状图和线形图更频繁地遇到，被评为更典型，并且识别速度更快;此外，上升的数据模式比下降和中性的数据模式更典型。这些发现提供了关于图形模式层次结构的新知识，并可以告知设计选择哪种图形类型可能最有助于观众对数据可视化的理解。

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Typicality effect in data graphs

Some types of data graphs are more easily understood than others. Following the suggestion that typically encountered graphs may activate individuals’ cognitive schema quickly, this study investigated prior exposure to and typicality of three common graph types: vertical bar graphs, horizontal bar graphs and line graphs; and three common data patterns: rising, neutral and falling. Results from two samples ( N = 57 and N = 30) suggest that vertical bar graphs are encountered more frequently, are rated as more typical and are identified more quickly than horizontal bar graphs and line graphs; also that rising data patterns are more typical than falling and neutral data patterns. The findings contribute new knowledge about the hierarchical structure of graph schema and can inform design choices about which graph types might best facilitate viewers’ understanding of data visualizations.

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来源期刊

Visual Communication COMMUNICATION-

CiteScore

3.40

自引率

13.30%

发文量

期刊介绍： Visual Communication provides an international forum for the growing body of work in numerous interrelated disciplines. Its broad coverage includes: still and moving images; graphic design and typography; visual phenomena such as fashion, professional vision, posture and interaction; the built and landscaped environment; the role of the visual in relation to language, music, sound and action.