Literature DB >> 10586582

Bars and lines: a study of graphic communication.

J Zacks1, B Tversky.   

Abstract

Interpretations of graphs seem to be rooted in principles of cognitive naturalness and information processing rather than arbitrary correspondences. These predict that people should more readily associate bars with discrete comparisons between data points because bars are discrete entities and facilitate point estimates. They should more readily associate lines with trends because lines connect discrete entities and directly represent slope. The predictions were supported in three experiments--two examining comprehension and one production. The correspondence does not seem to depend on explicit knowledge of rules. Instead, it may reflect the influence of the communicative situation as well as the perceptual properties of graphs.

Entities:  

Mesh:

Year:  1999        PMID: 10586582     DOI: 10.3758/bf03201236

Source DB:  PubMed          Journal:  Mem Cognit        ISSN: 0090-502X


  2 in total

1.  The perceptual interaction of graphical attributes: configurality, stimulus homogeneity, and object integration.

Authors:  C M Carswell; C D Wickens
Journal:  Percept Psychophys       Date:  1990-02

2.  Perceptual and conceptual factors in distortions in memory for graphs and maps.

Authors:  B Tversky; D J Schiano
Journal:  J Exp Psychol Gen       Date:  1989-12
  2 in total
  17 in total

1.  Bar graphs depicting averages are perceptually misinterpreted: the within-the-bar bias.

Authors:  George E Newman; Brian J Scholl
Journal:  Psychon Bull Rev       Date:  2012-08

2.  Visualizing space, time, and agents: production, performance, and preference.

Authors:  Angela Kessell; Barbara Tversky
Journal:  Cogn Process       Date:  2010-11-17

3.  A graph for every analysis: Mapping visuals onto common analyses using flexplot.

Authors:  Dustin A Fife; Gabrielle Longo; Michael Correll; Patrice D Tremoulet
Journal:  Behav Res Methods       Date:  2021-02-25

4.  Understanding the Required Resources in Line Graph Comprehension.

Authors:  Cara Bailey Fausset; Wendy A Rogers; Arthur D Fisk
Journal:  Proc Hum Factors Ergon Soc Annu Meet       Date:  2008-09

5.  Shedding light on the graph schema: perceptual features versus invariant structure.

Authors:  Raj M Ratwani; J Gregory Trafton
Journal:  Psychon Bull Rev       Date:  2008-08

6.  Communicating population health statistics through graphs: a randomised controlled trial of graph design interventions.

Authors:  David J Muscatello; Andrew Searles; Robin MacDonald; Louisa Jorm
Journal:  BMC Med       Date:  2006-12-20       Impact factor: 8.775

7.  Are Categorical Spatial Relations Encoded by Shifting Visual Attention between Objects?

Authors:  Lei Yuan; David Uttal; Steven Franconeri
Journal:  PLoS One       Date:  2016-10-03       Impact factor: 3.240

8.  Flexibility in data interpretation: effects of representational format.

Authors:  David W Braithwaite; Robert L Goldstone
Journal:  Front Psychol       Date:  2013-12-31

9.  Expert interpretation of bar and line graphs: the role of graphicacy in reducing the effect of graph format.

Authors:  David Peebles; Nadia Ali
Journal:  Front Psychol       Date:  2015-10-30

10.  Creating visual explanations improves learning.

Authors:  Eliza Bobek; Barbara Tversky
Journal:  Cogn Res Princ Implic       Date:  2016-12-07
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.