Real-time processing of indexical and generic expressions: Insights from, and implications for, COVID-related public health messages

E. Kaiser, Jesse Storbeck
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Abstract

We used COVID-related health messages to investigate the incremental processing of expressions such as you, we and people in generic contexts, to further our understanding of how these kinds of expressions are processed in real-time and to explore whether the ease of comprehending public health messages related to the COVID pandemic is influenced by type of referring expression. Results from a self-paced reading study point to an increased processing load in messages with the non-indexical form people (relative to we and you), which we suggest is separable from effects of word length and frequency. We interpret this as preliminary support for the Indexicality Hypothesis, which posits that expressions which can in principle receive indexical interpretations are easier to process than non-indexicals, and also emphasize the need for further work on these kinds of questions.
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索引和通用表达式的实时处理:来自与covid相关的公共卫生信息的见解及其影响
我们利用与COVID相关的健康信息,研究“你”、“我们”和“人”等表达在一般语境下的增量处理,进一步了解这些表达是如何实时处理的,并探讨与COVID大流行相关的公共卫生信息的理解难易程度是否受到参考表达类型的影响。一项自定节奏阅读研究的结果表明,与非索引形式的人(相对于我们和你)在消息中的处理负荷增加,我们认为这与单词长度和频率的影响是可分离的。我们将此解释为对指数性假设的初步支持,该假设认为原则上可以接受指数性解释的表达式比非指数性更容易处理,并强调需要进一步研究这类问题。
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