Augmenting text with multiple pictures can facilitate online information processing across language barriers

Xiaojuan Ma
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引用次数: 2

Abstract

Language is a barrier for many non-native English speaking users to benefit from huge resources of information via the Internet. Many approaches have been tried to enhance web content comprehension, including the use of pictorial support. In this paper, we present a two-step exploration of whether augmenting ordinary text content with multiple imagery representations could foster people's process of online information. The first step consisted of two studies, i.e. a food - ingredient matching study and a treatment - illness matching study, which evaluated the efficacy of a combination of text and pictures in facilitating information discrimination and decision making. In the second step, we assessed participants' comprehension and recall of complex scenarios in medical care for online self-diagnoses with the help of image sequences. We used non-native English speakers to resemble language barriers. Results showed that participants' performance was improved significantly with the multi-picture support when people's language skills are limited.
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用多幅图片增强文本可以促进跨越语言障碍的在线信息处理
语言是一个障碍,许多非英语为母语的用户受益于巨大的信息资源,通过互联网。人们尝试了许多方法来增强web内容的理解能力,包括使用图像支持。在本文中,我们分两步探索了用多种图像表示来增强普通文本内容是否可以促进人们对在线信息的处理。第一步包括两项研究,即食品-配料匹配研究和治疗-疾病匹配研究,评估文字和图片结合在促进信息辨别和决策方面的功效。第二步,我们利用图像序列评估参与者对在线自我诊断中复杂医疗场景的理解和回忆。我们用非英语母语的人来模拟语言障碍。结果表明,在语言能力有限的情况下,多图片支持能显著提高被试的表现。
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