图词干扰任务中语义促进和干扰效应的解释——对Navarrete and Mahon(2013)的回应

A. Mädebach, A. Hantsch
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引用次数: 9

摘要

在我们最初的文章中,我们提出了一个图片-单词干扰实验,在这个实验中,尽管图片的命名偏好是在从属层次(例如,图片:玫瑰,反应:花),但必须用基本层次的名称来命名图片。我们观察到,表示图片从属名称的干扰词存在语义干扰,而表示同一基本水平对应的另一个从属名称的干扰词不存在语义干扰。我们认为,这种模式与图词干扰任务中的语义干扰效应是由对干扰词的粗糙语义特性起作用的词汇后反应排斥机制引起的假设不一致,但词汇竞争模型可以解释这些结果。在他们对我们文章的评论中,Navarrete和Mahon得出了相反的结论。在这里,我们将讨论Navarrete和Mahon对我们的结果的解释提出的主要反对意见。我们详细阐述了我们的观点,即词汇竞争模型可以解释我们的数据,并同意响应排除机制(作为一般监控系统的一部分,在细粒度语义信息上运行)将与我们的数据兼容。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Explaining semantic facilitation and interference effects in the picture–word interference task—A rejoinder to Navarrete and Mahon (2013)
In our original article, we presented a picture–word interference experiment in which pictures had to be named with basic level names, although their naming preference was at the subordinate level (e.g., picture: rose, response: flower). We observed semantic interference for distractor words denoting the subordinate name of the picture, but no effect for distractor words denoting another subordinate name corresponding to the same basic level. We argued that this pattern is inconsistent with the assumption that semantic interference effects in picture–word interference tasks are caused by a post-lexical response-exclusion mechanism which operates over coarse semantic properties of distractor words, but that lexical competition models can account for these results. In their commentary on our article, Navarrete and Mahon come to the opposite conclusion. Here we are addressing the principal objections raised by Navarrete and Mahon, regarding the interpretation of our results. We elaborate on our view that lexical competition models can account for our data and agree that a response-exclusion mechanism, which is part of a general monitoring system and operates over fine-grained semantic information, would be compatible with our data.
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