From the left: Andreas Roesch, Dominik Özbe, Martin Köllner, Carola Walther, Anne Schnabel, Leon Martin, Sophie Lenz, Oliver Schultheiss, Heidi Reichmann
Professor,, 2007, Friedrich-Alexander University, Erlangen, Germany
Dr. phil., 1996, Friedrich-Alexander University, Erlangen, Germany
Dipl.-Psych., 1994, Friedrich-Alexander University, Erlangen, Germany
became interested in implicit motives as an undergraduate student,
and the interest soon turned into a passion to which I have dedicated
all my research ever since. My main areas of research are the
endocrine underpinnings of implicit motives, the relationship
between implicit and explicit levels of motivation, the role of
implicit motives in the processing of facial expressions of emotion,
and how implicit motives influence Pavlovian and instrumental
learning. Recently, I have also started to examine the ability
to quickly name nonverbal stimuli as a fundamental cognitive trait
and how this trait interacts with brain asymmetries in perception
and motor control in a variety of phenomena related to motivation
Dr. phil., 2015, Friedrich-Alexander University, Erlangen, Germany
My research is centered on the links between two main areas of psychology: Motivation and learning. After exploring the relationship of implicit and explicit motives meta-analytically, I investigated the effects of implicit motives on implicit instrumental conditioning in a behavioral implicit learning paradigm. This line of research will continue to play a major role in my postdoctoral research, as a better understanding of motive-dependent learning processes could be beneficial for understanding adaptive and maladaptive social behavior. I am also interested in systematically charting the size of and the requirements for important phenomena found in motivational psychology via (IPD) meta-analysis. At the moment, I am investigating the relationships between implicit motives and markers of organizational hormone effects.
As I am both, a motivation researcher and a psychotherapist in training, I am interested in the integration of clinical psychology and motivation. I think implicit motives can help us understand aspects in the genesis of psychological diseases like depression and I believe that they can be a useful asset in the treatment of such diseases. Therefore as a first step I try to get a better grasp of the interplay of implicit motives and other factors like motive-relevant critical events or explicit motives and their beneficial or adverse effects on the psychological well-being of a person. Later on I would like to use the gained knowledge to support people trying to recover from psychological illnesses.
My main research interest is coding implicit motives in video material and utilizing such material in motivational arousal studies. Therefore as a first step I coded well-known movies for implicit motives and analyzed them with regard to their motive strength and profiles. Short clips with high implicit motive content derived from this project have already been used in a recent arousal study with pre-post-PSE-administration and additional studies with further refined video material will follow. Another exciting question in this context is whether the commercial success and the subjective evaluation of movies are related to their motive content or the motive strength of their trailers. Moreover, I am working on refining coding rules for audiovisual material. In this context I am devising a new systematic calibration set for prospective coders of audiovisual material.
Furthermore, I am interested in clinical psychology and psychotherapy for which reason I am planning to further study the link between implicit and explicit motives and psychological well-being.
I am a cognitive neuroscientist with research interests in the brain mechanisms underlying such cognitive functions as perception, attention and learning. During my PhD studies, I investigated developmental changes in these functions through adolescence. Currently, I am working on design and implementation of eye-tracking and neuro-feedback studies aimed to investigate how implicit motives influence Pavlovian learning. I am also provide students with support related to software and data analysis questions in the HuMAN Lab.
Elizabeth A. Meier
Steven J. Stanton
C. Brunstein, University of Giessen
Brown, University of Michigan
Kenneth L. Campbell, University
of Massachusetts, Boston
Elliot, University of Rochester
L. Fredrickson, University of North Carolina at Chapel Hill
Todd M. Thrash, The College of
William & Mary
Volling, University of Michigan
Wilma Bucci, Adelphi University
Schultheiss (physicist), Research Center Karlsruhe, Karlsruhe, Germany