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

Subject Area Social Psychology, Industrial and Organisational Psychology
Term from 2010 to 2012
Project identifier Deutsche Forschungsgemeinschaft (DFG) - Project number 167999248
 
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.
DFG Programme Research Fellowships
International Connection New Zealand
 
 

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