Alle Publikationen
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2016
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(2016): Pluralism, social cognition, and interaction in autism. In: Philosophical Psychology 30 (1-2), S. 161-184. DOI: 10.1080/09515089.2016.1261394
Abstract: In this paper, I investigate social cognition and its relation to interaction in autism from the perspective of a pluralist account of social understanding by considering behavioral as well as neuroscientific findings. Traditionally, researchers have focused on mental state reasoning in autism, which is uncontroversially impaired. A pluralist account of social cognition aims to explore the varieties of social understanding that are acquired throughout ontogeny and may play a role in everyday life. The analysis shows that children with autism are well able to understand other people's behavior by considering social rules and norms, scripts, and stereotypes. Moreover, some individuals with autism succeed in understanding other people's behavior in terms of mental states by employing explicit behavioral rules as a compensatory strategy. The paper ends with a discussion of the social cognitive (dys)functions in autism and their relation to the motivation of individuals with autism to engage in social interaction.
Keywords: Angesicht, ASPERGER-SYNDROME, Autism spectrum disorder, Beeinflussung sozial angemessenen Verhaltens, Blick, Disziplin, EYE GAZE, FALSE BELIEF, Interaction, Interaktion, JOINT ATTENTION, mental states, mental states reasoning, mentale Zustände, MIRROR-NEURON SYSTEM, NORMAL-CHILDREN, Observablen/Kriterien für sozial angemessenes Verhalten und dessen Bewertung, OF-MIND DEVELOPMENT, OTHERS ACTIONS, Pathologie, PERSPECTIVE-TAKING, Philosophie, pluralist theories, Psychologie, script, Social Cognition, soziale Kognition, SPECTRUM DISORDERS -
(2016): Let’s Pretend!. In: Philosophy of the Social Sciences 35 (1), S. 75-97. DOI: 10.1177/0048393104271925
2015
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(2015): Evaluating the engagement with social robots. In: International Journal of Social Robotics 7 (4), S. 465-478. DOI: 10.1007/s12369-015-0298-7
DOI: https://doi.org/10.1007/s12369-015-0298-7 Abstract: To interact and cooperate with humans in their daily-life activities, robots should exhibit human-like 'intelligence'. This skill will substantially emerge from the interconnection of all the algorithms used to ensure cognitive and interaction capabilities. While new robotics technologies allow us to extend such abilities, their evaluation for social interaction is still challenging. The quality of a human–robot interaction can not be reduced to the evaluation of the employed algorithms: we should integrate the engagement information that naturally arises during interaction in response to the robot’s behaviors. In this paper we want to show a practical approach to evaluate the engagement aroused during interactions between humans and social robots. We will introduce a set of metrics useful in direct, face to face scenarios, based on the behaviors analysis of the human partners. We will show how such metrics are useful to assess how the robot is perceived by humans and how this perception changes according to the behaviors shown by the social robot. We discuss experimental results obtained in two human-interaction studies, with the robots Nao and iCub respectively. (PsycINFO Database Record (c) 2016 APA, all rights reserved)
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