作者: Yasmina Okan , Mirta Galesic , Rocio Garcia-Retamero
DOI: 10.1002/BDM.1891
关键词: Eye movement 、 Medical information 、 Graph 、 Decision support tools 、 Natural language processing 、 Artificial intelligence 、 Literacy 、 Eye tracking 、 Computer science 、 Personalization 、 Comprehension
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, people differ substantially in their graph literacy—the ability to understand graphically presented information. Although some features can be interpreted using spatial-to-conceptual mappings that established by adults and children with no graphing experience (e.g., “higher bars equal larger quantities”), other linked arbitrary conventions axes labels scales). In two experiments, we examined differences processes underlying comprehension presenting medical information individuals low high literacy. Participants' eye movements were recorded while they which conventional was incongruent conveyed spatial features. Results revealed participants literacy more relied on misleading misinterpreted data depicted. Higher associated time spent viewing containing essential accurate interpretations. This suggests better able identify task-relevant graphs, thus attend relevant a extent. Theoretical, methodological, prescriptive implications customization decision-support systems discussed.