How People with Low and High Graph Literacy Process Health Graphs: Evidence from Eye-tracking

被引:65
作者
Okan, Yasmina [1 ,2 ]
Galesic, Mirta [3 ,4 ]
Garcia-Retamero, Rocio [2 ,3 ]
机构
[1] Univ Leeds, Sch Business, Ctr Decis Res, Maurice Keyworth Bldg, Leeds LS2 9JT, W Yorkshire, England
[2] Univ Granada, Mind Brain & Behav Res Ctr CIMCYC, E-18071 Granada, Spain
[3] Max Planck Inst Human Dev, Ctr Adapt Behav & Cognit, Berlin, Germany
[4] Santa Fe Inst, Santa Fe, NM USA
关键词
graph comprehension; eye movements; medical decision making; individual differences; graph literacy; INDIVIDUAL-DIFFERENCES; INFORMATION-REDUCTION; RISK COMMUNICATION; VISUAL AIDS; TOP-DOWN; COMPREHENSION; NUMERACY; FEATURES; BOTTOM; MODEL;
D O I
10.1002/bdm.1891
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
Graphs facilitate the communication of important quantitative information, often serving as effective decision support tools. Yet, graphs are not equally useful for all individuals, as people differ substantially in their graph literacythe ability to understand graphically presented information. Although some features of graphs can be interpreted using spatial-to-conceptual mappings that can be established by adults and children with no graphing experience (e.g., higher bars equal larger quantities), other features are linked to arbitrary graph conventions (e.g., axes labels and scales). In two experiments, we examined differences in the processes underlying the comprehension of graphs presenting medical information in individuals with low and high graph literacy. Participants' eye movements were recorded while they interpreted graphs in which information in conventional features was incongruent with that conveyed by spatial features. Results revealed that participants with low graph literacy more often relied on misleading spatial-to-conceptual mappings and misinterpreted the data depicted. Higher graph literacy was often associated with more time spent viewing the conventional features containing essential information for accurate interpretations. This suggests that individuals with high graph literacy are better able to identify the task-relevant information in graphs, and thus attend to the relevant features to a larger extent. Theoretical, methodological, and prescriptive implications for customization of decision-support systems are discussed. Copyright (c) 2015 John Wiley & Sons, Ltd.
引用
收藏
页码:271 / 294
页数:24
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