Ferré Pilar, Sánchez-Carmona Alberto J, Haro Juan, Calvillo-Torres Rocío, Albert Jacobo, Hinojosa José Antonio
Departament de Psicologia and CRAMC, Universitat Rovira i Virgili, Tarragona, Spain.
Centro Neuromottiva, Madrid, Spain.
Psychon Bull Rev. 2025 Apr;32(2):570-587. doi: 10.3758/s13423-024-02555-8. Epub 2024 Sep 19.
Research on the interplay between language and emotion has shown evidence that the affective content of words influences their recognition. However, the direction of the effects is not clear, as there are mixed findings regarding the role of positive and, especially, negative valence. We conducted a Bayesian multi-level meta-analysis to examine the role of valence in visual word recognition, focusing on the lexical decision task. The results revealed a facilitative effect of positive valence on lexical decision times. That is, positive words led to faster responses than both negative and neutral words. In contrast, negative valence did not have any effect, although the analysis of several moderator variables suggested that there might be a facilitative effect in some cases, specifically, when negative words elicit very strong and intense emotions. These results shed light on the complexities of emotional word processing. They also point to the need for psycholinguistic models to take affective information into account, and thus provide a complete view of visual word recognition.
关于语言与情感之间相互作用的研究表明，单词的情感内容会影响其识别。然而，这种影响的方向并不明确，因为关于正性尤其是负性效价的作用存在不一致的研究结果。我们进行了一项贝叶斯多层次元分析，以检验效价在视觉单词识别中的作用，重点关注词汇判断任务。结果显示正性效价对词汇判断时间有促进作用。也就是说，与负性和中性单词相比，正性单词能带来更快的反应。相比之下，负性效价没有任何影响，不过对几个调节变量的分析表明，在某些情况下可能存在促进作用，具体而言，当负性单词引发非常强烈和激烈的情绪时。这些结果揭示了情感词汇加工的复杂性。它们还指出心理语言学模型需要考虑情感信息，从而提供视觉单词识别的完整观点。
