Ruhr Universität, Bochum, Germany.
International Psychoanalytic University Berlin, Methods and Evaluation, Stromstraße 3, 10555, Berlin, Germany.
Psychol Res. 2019 Sep;83(6):1172-1183. doi: 10.1007/s00426-017-0953-8. Epub 2017 Nov 27.
The goal of this study was to replicate findings of diffusion model parameters capturing emotion effects in a lexical decision task and investigating whether these findings extend to other tasks of implicit emotion processing. Additionally, we were interested in the stability of diffusion model parameters across emotional stimuli and tasks for individual subjects. Responses to words in a lexical decision task were compared with responses to faces in a gender categorization task for stimuli of the emotion categories: happy, neutral and fear. Main effects of emotion as well as stability of emerging response style patterns as evident in diffusion model parameters across these tasks were analyzed. Based on earlier findings, drift rates were assumed to be more similar in response to stimuli of the same emotion category compared to stimuli of a different emotion category. Results showed that emotion effects of the tasks differed with a processing advantage for happy followed by neutral and fear-related words in the lexical decision task and a processing advantage for neutral followed by happy and fearful faces in the gender categorization task. Both emotion effects were captured in estimated drift rate parameters-and in case of the lexical decision task also in the non-decision time parameters. A principal component analysis showed that contrary to our hypothesis drift rates were more similar within a specific task context than within a specific emotion category. Individual response patterns of subjects across tasks were evident in significant correlations regarding diffusion model parameters including response styles, non-decision times and information accumulation.
本研究的目的是复制扩散模型参数在词汇判断任务中捕获情绪效应的发现,并研究这些发现是否扩展到其他内隐情绪处理任务。此外,我们还关注个体被试在不同情绪刺激和任务下扩散模型参数的稳定性。比较了词汇判断任务中单词的反应和性别分类任务中面孔的反应,这些任务的情绪类别为:快乐、中性和恐惧。分析了情绪的主要影响以及扩散模型参数在这些任务中表现出的新兴反应模式的稳定性。基于早期的发现,假设在相同情绪类别刺激下的漂移率比在不同情绪类别刺激下更相似。结果表明,任务的情绪效应不同,在词汇判断任务中,快乐相关词的处理优势大于中性和恐惧相关词,在性别分类任务中,中性词的处理优势大于快乐和恐惧相关词。这两种情绪效应都在估计的漂移率参数中得到了捕捉,在词汇判断任务中,也在非决策时间参数中得到了捕捉。主成分分析表明,与我们的假设相反,漂移率在特定任务环境中比在特定情绪类别中更相似。在扩散模型参数方面,包括反应模式、非决策时间和信息积累,任务之间的个体被试反应模式是明显相关的。