论文标题
当简化文本还不够时:基于图的可视化是否可以促进消费者对饮食补充信息的理解?
When Text Simplification Is Not Enough: Could a Graph-Based Visualization Facilitate Consumers' Comprehension of Dietary Supplement Information?
论文作者
论文摘要
饮食补充剂被广泛使用,但并不总是安全的。随着互联网的快速发展,消费者通常会在线寻求包括饮食补充信息在内的健康信息。为了帮助消费者访问优质的在线饮食补充信息,我们已经确定了值得信赖的饮食补充信息来源,并建立了基于证据的饮食补充信息知识基础 - 综合饮食补充剂知识库(IDISK),该知识基础(IDISK)整合并标准化了这些不同来源的饮食补充剂相关信息。但是,由于从科学来源收集了IDisk中的信息,因此复杂的医疗术语是消费者理解的障碍。为了评估如何简化和表示IDisk的饮食补充信息的不同方法将影响消费者的理解,使用众包平台,我们招募了参与者阅读来自IDisk的四种不同表示的饮食补充信息:原始文本,句法和词汇简化,简化,手动简化,简化的可视化以及基于图形的可视化。然后,我们评估了不同的简化和表示策略如何以对一组理解问题的准确性和响应时间来影响消费者对饮食补充信息的理解。通过来自690名合格参与者的回答,我们的实验证实,手动方法在理解问题上的精度和响应时间都具有最佳性能,而基于图的方法则排名第二个优于其他表示其他表示。在某些情况下,基于图的表示在响应时间方面优于手动方法。可能需要一种结合文本和基于图表的表示的混合方法,以适应消费者的不同信息需求和信息寻求行为。
Dietary supplements are widely used but not always safe. With the rapid development of the Internet, consumers usually seek health information including dietary supplement information online. To help consumers access quality online dietary supplement information, we have identified trustworthy dietary supplement information sources and built an evidence-based knowledge base of dietary supplement information-the integrated DIetary Supplement Knowledge base (iDISK) that integrates and standardizes dietary supplement related information across these different sources. However, as information in iDISK was collected from scientific sources, the complex medical jargon is a barrier for consumers' comprehension. To assess how different approaches to simplify and represent dietary supplement information from iDISK will affect lay consumers' comprehension, using a crowdsourcing platform, we recruited participants to read dietary supplement information in four different representations from iDISK: original text, syntactic and lexical text simplification, manual text simplification, and a graph-based visualization. We then assessed how the different simplification and representation strategies affected consumers' comprehension of dietary supplement information in terms of accuracy and response time to a set of comprehension questions. With responses from 690 qualified participants, our experiments confirmed that the manual approach had the best performance for both accuracy and response time to the comprehension questions, while the graph-based approach ranked the second outperforming other representations. In some cases, the graph-based representation outperformed the manual approach in terms of response time. A hybrid approach that combines text and graph-based representations might be needed to accommodate consumers' different information needs and information seeking behavior.