Feature-specific attention allocation in implicit measures based on face stimuli

内隐测量允许分析认知过程，包括态度和陈规定型观念。本研究旨在探讨内隐测量中刺激特征对测量结果的影响，内隐测量被视为对目标对象或社会群体态度的指示。通过快速（和自动）反应任务，如情感启动，情感错误归因或内隐联想测试，面部特征的后果进行了探索。由于面孔是多维度的刺激，它们负责分类过程和它们引起的影响。可以预期，将注意力集中在特定特征（性别，种族，吸引力）上决定了影响的类型，从而也决定了内隐测量的结果。与Jamin Halberstadt（新西兰达尼丁奥塔哥大学）的合作已经开始，并将继续下去。该项目部分回答了以下问题：（a）什么样的影响是由内隐测量评估和（B）如何内隐测量程序需要定制，以评估利益的关联。

Implicit measures allow the analysis of cognitive processes including attitudes and stereotypes. The current project investigates the impact of stimulus features on the outcomes of implicit measures, which are taken as an indication of attitudes towards target objects or social groups. By means of quick (and automatic) response tasks, such as affective priming, affect misattribution or implicit association tests, the consequences of facial features are explored. In as much as faces are multidimensional stimuli, they are responsible for categorization processes and the affect they elicit. It can be expected that focusing the attention on specific features (gender, ethnicity, attractiveness) determines the type of affect, thus also the outcome of the implicit measure. The cooperation with Jamin Halberstadt (University of Otago, Dunedin, New Zealand) has begun and shall be continued. The project partially answers the questions (a) what kind of affect is assessed by implicit measures and (b) how implicit measurement procedures need to be tailored to assess the associations of interest.