心理学
分类
意义(存在)
任务(项目管理)
集合(抽象数据类型)
认知心理学
内容(测量理论)
相关性(法律)
语言学
词汇判断任务
认知
计算机科学
数学
神经科学
心理治疗师
法学
程序设计语言
管理
经济
哲学
数学分析
政治学
作者
Ruiyao Zheng,Meng Zhang,Marc Guasch,Pilar Ferré
标识
DOI:10.1177/17470218241296695
摘要
Affective words can be classified into two types: emotion words (EM words, e.g., “happy”) and emotion-laden words (EL words, e.g., “wedding”). Several studies have shown differences in processing between EM and EL words, although results are inconclusive. These two types of words may have representational differences because affective content is an inherent part of the semantic features of EM words (i.e., denotative meaning) but not of EL words, whose affective content is part of their connotative meaning (i.e., these words do not name emotions, but are associated to emotions). In this study, we tested a set of Chinese EM and EL words. Both conditions included positive and negative words. The study involved two tasks, an implicit task, in which emotional content was not relevant (lexical decision task, LDT), and an explicit task, in which the emotional content was relevant (affective categorization task, ACT). Our results showed that participants responded faster to EM words than to EL words. This advantage was mostly observed in the ACT and with negative words. These results reveal differences in processing between EM and EL words which can be related to the greater relevance of affective content in the meaning of EM words compared to EL words.
科研通智能强力驱动
Strongly Powered by AbleSci AI