Stephan de la Rosa, Ph.D. |
| Address: | Spemannstr. 38 72076 Tübingen |
| Room number: | 113 |
| Phone: | +49 7071 601 606 |
| Fax: | +49 7071 601 616 |
| E-Mail: | delarosa |
I am a Post-Doctoral fellow with training experience in psychology, statistics, and computer science. My research interest is to investigate human perception and cognition and to develop technologies that aid the investigation of psychological processes. My interst further span statistics, research methods, and research ethics.
I have taught several courses (e.g. statistics, perception, human computer interaction) at the University of Toronto (Toronto/Canada) and at the
General overview about (please find a detailed research plan in the section 'Projects'):
Research on human perception and cognition
Human Perception and Cognition
Social Interaction Recognition
Humans are social beings. Interacting with another person (social interaction) is an integral part of human life. I investigate the perceptual and cognitive processes in the recognition of social interactions and the perceptual and cognitive mechanisms involved during the execution of social interactions.
For example, we use 3D models of social interactions to examine the viewpoint dependency of social interaction recognition (see right video for a example stimulus).
Current research questions concern the role of visual information in social interactions; the contribution of motor control during social interactions; the visual recognition of social interactions; and the role of emotions during social interactions.
Emotional Face Recognition/Facial Expression Recognition
I am interested in the underlying representations of facial expression recognition. Among other things we are using adaptation paradigms and 3D facial models to examine the processes involved in emotional facial expression recognition.
I use various methods to address the research questions including
I supervise(d) the following students:
Stephan Streuber (Ph.D. Candidate)
Frieder Schillinger (Diploma Student)
Sarah Mieskes (Master Student)
I am a co-supervisor of the following students:
Kathrin Kaulard (Ph.D. Candidate)
Ekaterina Volkova (Ph.D. Candidate)
I have developed experiment database (web interface) for the recruitment of participants at the University of Toronto (using html, php, mysql) and the participant database for the Max Planck Insitute Department Human Perception, Cognition, and Action.
I am currently developing another subject database for which can be seen at http://www.experimentdatabase.com
We are further developing a processing pipline to display motion capture information as recorded by moven suits (XSENS) witihn the psychophysics toolbox (standard software in psychological research).
My research projects examine how people process, represent, and understand of visual information pertaining to social interactions. I am working on several projects:
Social interaction categorization
Physical social interacitons (e.g. kissing or shaking hands) are abundant in our daily life. How do we represent the manifold of social interactions? In this project we examine the cognitive representation of social interaction recognition. We are using an free categorization tasks to examine, whether and which social interaction humans perceive as more similar. Furthermore we try to determine the factors underlying this categorization.
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The use of visual information on social interaction performance
Humans usually do not passively observe social interactions but they actively participate in physical social interactions? Active participation in physical social interaction requires the interaction partners to coordinate their actions (e.g. when carrying a stretcher). There are many cues that persons can use from the environment for action coordination. For example, they can use visual information about the object that they carry together or than can use visual information of the interaction partner's body. In this project we examine which visual information people use if they interact with others. We furthermore look at to what degree the social context influences the use of visual information in action coordination tasks. This project is mainly carried out by Stephan Streuber.
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Faces provide rich information about the cognitive and emotional states of the interaction partner through facial expressions (e.g. a happy face). Previous research examined the cognitive representation of facial expression mainly using static images of facial expressions. In this project we are interested whether dynamic facial information (e.g. facial movement) is also part of the representation.
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In this project we are examining how individual actions that are directed towards another person are cognitively represented.
In this project we examine the influence of the motor system on the perception of actions. We use behavioural as well as fMRI to examine the motor-visual linkage and its importance for action understanding.
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Dissociating different levels of object recognition
Objects can be recognized on several semantic levels. For example, it has been suggested that one can merely detecting the presence of an object without recognizing its identity. However more recent evidence suggests that detection and the explicit recognition are the same. Here we examined whether the differences in technical experimental setup (specifically the refresh rate and consequently the minimum possible presentation time) can accont for the lack of dissociating detection from explicit recognition. For very high monitor refresh rates (i.e. very short minimum presentation times) we could dissociate detection from explicit recognition. In contrast we were unable to find behavioural differences between detection and explicit recognition tasks for lower refresh rates (i.e. longer minimum presentation times). The results suggest that detection and explicit recognition are dissociable and that high refresh rates are required (i.e. very short minimum presentation times) to dissociate detection from explicit recognition.
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Displaying motion capture data within Psychtoolbox 3
We are developing a pipeline to display motion capture (e.g. from MVN studio) data within the Psychtoolbox 3.
My research contributes to the EU funded research project TANGO.
2008: Ph.D. Psychology
2003: Master of Arts in Psychology
2002: Diploma Geography with Computer Science and Sociology as minors