Alle Publikationen
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2017
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(2017): Locally noisy autonomous agents improve global human coordination in network experiments. In: Nature 545 (7654), S. 370-374. DOI: 10.1038/nature22332
DOI: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5912653 Abstract: Coordination in groups faces a sub-optimization problem and theory suggests that some randomness may help to achieve global optima. Here we performed experiments involving a networked colour coordination game in which groups of humans interacted with autonomous software agents (known as bots). Subjects (n = 4,000) were embedded in networks (n = 230) of 20 nodes, to which we sometimes added 3 bots. The bots were programmed with varying levels of behavioural randomness and different geodesic locations. We show that bots acting with small levels of random noise and placed in central locations meaningfully improve the collective performance of human groups, accelerating the median solution time by 55.6%. This is especially the case when the coordination problem is hard. Behavioural randomness worked not only by making the task of humans to whom the bots were connected easier, but also by affecting the gameplay of the humans among themselves and hence creating further cascades of benefit in global coordination in these heterogeneous systems.
2012
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(2012): When humanoid robots become human-like interaction partners: corepresentation of robotic actions. In: Journal of experimental psychology. Human perception and performance 38 (5), S. 1073-1077. DOI: 10.1037/a0029493
DOI: http://www.ncbi.nlm.nih.gov/pubmed/22866762 Abstract: In human-human interactions, corepresenting a partner's actions is crucial to successfully adjust and coordinate actions with others. Current research suggests that action corepresentation is restricted to interactions between human agents facilitating social interaction with conspecifics. In this study, we investigated whether action corepresentation, as measured by the social Simon effect (SSE), is present when we share a task with a real humanoid robot. Further, we tested whether the believed humanness of the robot's functional principle modulates the extent to which robotic actions are corepresented. We described the robot to participants either as functioning in a biologically inspired human-like way or in a purely deterministic machine-like manner. The SSE was present in the human-like but not in the machine-like robot condition. These findings suggest that humans corepresent the actions of nonbiological robotic agents when they start to attribute human-like cognitive processes to the robot. Our findings provide novel evidence for top-down modulation effects on action corepresentation in human-robot interaction situations.
2008
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(2008): Becoming friends by chance. In: Psychological science 19 (5), S. 439-440. DOI: 10.1111/j.1467-9280.2008.02106.x
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