Alle Publikationen
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2011
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(2011): Dissociable brain mechanisms for processing social exclusion and rule violation. In: NEUROIMAGE 54 (3), S. 2462-2471. DOI: 10.1016/j.neuroimage.2010.10.049
DOI: http://www.ncbi.nlm.nih.gov/pubmed/20974272 Abstract: Social exclusion inherently involves an element of expectancy violation, in that we expect other people to follow the unwritten rule to include us in social interactions. In this functional magnetic resonance imaging (fMRI) study, we employed a unique modification of an interactive virtual ball-tossing game called "Cyberball" (Williams et al., 2000) and a novel paradigm called "Cybershape," in which rules are broken in the absence of social exclusion, to dissociate brain regions that process social exclusion from rule violations more generally. Our Cyberball game employed an alternating block design and removed evoked responses to events when the participant was throwing the ball in inclusion to make this condition comparable to exclusion, where participants did not throw. With these modifications, we replicated prior findings of ventral anterior cingulate cortex (vACC), insula, and posterior cingulate cortex activity evoked by social exclusion relative to inclusion. We also identified exclusion-evoked activity in the hippocampi, left ventrolateral prefrontal cortex, and left middle temporal gyrus. Comparing social exclusion and rule violation revealed a functional dissociation in the active neural systems as well as differential functional connectivity with vACC. Some overlap was observed in regions differentially modulated by social exclusion and rule violation, including the vACC and lateral parietal cortex. These overlapping brain regions showed different activation during social exclusion compared to rule violation, each relative to fair play. Comparing activation patterns to social exclusion and rule violation allowed for the dissociation of brain regions involved in the experience of exclusion versus expectancy violation. zitiert von 96
Keywords: Brain/physiology, Cerebral Cortex/physiology, Computer Graphics, Data Interpretation, Statistical, Female, Games, Experimental, Humans, Image Processing, Computer-Assisted, Interpersonal Relations, Magnetic Resonance Imaging, Male, Nerve Net/physiology, Neural Pathways/physiology, Neurowissenschaften, Psychophysics, Rejection (Psychology), rules, science direct, Social Environment, Social Perception, Young Adult 2010
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(2010): "Artificial humans": Psychology and neuroscience perspectives on embodiment and nonverbal communication. In: Neural networks : the official journal of the International Neural Network Society 23 (8-9), S. 1077-1090. DOI: 10.1016/j.neunet.2010.06.003
DOI: https://doi.org/10.1016/j.neunet.2010.06.003 Abstract: "Artificial humans", so-called "Embodied Conversational Agents" and humanoid robots, are assumed to facilitate human-technology interaction referring to the unique human capacities of interpersonal communication and social information processing. While early research and development in artificial intelligence (AI) focused on processing and production of natural language, the "new AI" has also taken into account the emotional and relational aspects of communication with an emphasis both on understanding and production of nonverbal behavior. This shift in attention in computer science and engineering is reflected in recent developments in psychology and social cognitive neuroscience. This article addresses key challenges which emerge from the goal to equip machines with socio-emotional intelligence and to enable them to interpret subtle nonverbal cues and to respond to social affordances with naturally appearing behavior from both perspectives. In particular, we propose that the creation of credible artificial humans not only defines the ultimate test for our understanding of human communication and social cognition but also provides a unique research tool to improve our knowledge about the underlying psychological processes and neural mechanisms.
2005
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(2005): Social participation attenuates decline in perceptual speed in old and very old age. In: Psychology and Aging 20 (3), S. 423-434. DOI: 10.1037/0882-7974.20.3.423
DOI: http://www.ncbi.nlm.nih.gov/pubmed/16248702 Abstract: Does an engaged and active lifestyle in old age alleviate cognitive decline, does high cognitive functioning in old age increase the possibility of maintaining an engaged and active lifestyle, or both? The authors approach this conundrum by applying a structural equation model for testing dynamic hypotheses, the dual change score model (J. J. McArdle & F. Hamagami, 2001), to 3-occasion longitudinal data from the Berlin Aging Study (Time 1: n=516, age range=70-103 years). Results reveal that within a bivariate system of perceptual speed and social participation, with age and sociobiographical status as covariates, prior scores of social participation influence subsequent changes in perceptual speed, while the opposite does not hold. Results support the hypothesis that an engaged and active lifestyle in old and very old age may alleviate decline in perceptual speed.
Keywords: 80 and over, Aged, Computer Graphics, Discrimination Learning, Female, Gerontologie, Humans, Life Style, Likelihood Functions, Longitudinal Studies, Male, Models, Statistical, Neuropsychological Tests/statistics & numerical data, Pattern Recognition, Visual, Psychometrics/statistics & numerical data, Psychomotor Performance, Reaction Time, Reproducibility of Results, Social Behavior, Soziale Teilhabe, Statistics as Topic
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