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2016
Fiebich, Anika (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
Tennyson, Matthew F.; Kuester, Deitra A.; Casteel, John; Nikolopoulos, Christos (2016): Accessible Robots for Improving Social Skills of Individuals with Autism. In: Journal of Artificial Intelligence and Soft Computing Research 6 (4). DOI: 10.1515/jaiscr-2016-0020

Abstract: This paper reports on an ongoing project between members of the computer science and special education departments of Bradley University and Murray State University, detailing the robotic platforms developed and investigated as a potential tool to improve social interactions among individuals with Autism Spectrum Disorders (ASD). Development of a fourth generation robotic agent is described, which uses economically available robotic platforms (Lego NXT) as Socially Assistive Robotics (SAR), combined with direct instruction pedagogy and social scripts to support an alternative educational approach to teaching social behavior. Specifically, in this fourth generation, changes to the physical design of the robots were made to improve the maintainability, reliability, maneuverability, and aesthetics of the robots. The software architecture was designed for modularity, configurability, and reusability of the software.

Keywords: Assitive technology, Autism, Autism spectrum disorder, Autism Spectrum Disorders (ASD), Interaktion, interdisziplinär, Mensch-Maschine-Kommunikation, Mensch-Technik-Relationen (MTR), Pathologie, Realtechnik, robot teacher, script, Serviceroboter, Social robotic, Social Skills, Socially Assistive Robotics (SAR), Soziale Robotik, Soziosensitive Systeme, teaching social behaviour, Technik, Telemanipulation, Telerobotics
2009
Picard, Rosalind W. (2009) : Robots with emotional intelligence: 2009 4th ACM/IEEE International Conference on Human-Robot Interaction (HRI): 2009 4th ACM/IEEE International Conference on Human-Robot Interaction (HRI): New York, NY, US: Association for Computing Machinery

DOI: https://doi.org/10.1145/1514095.1514098

Abstract: This keynote talk will illustrate a basic set of skills of emotional intelligence, how they are important for robots and agents that interact with people, and how our research at MIT addresses part of the problem of giving robots such skills. One of the most important skills is the ability to perceive and understand expressions of emotion, which I will highlight by demonstrating new technologies developed to read joint facial-head movements in real-time and associate these with complex affective-cognitive states, and technologies to read paralinguistic vocal cues from speech. I will also show some non-traditional ways robots might sense and learn about human emotion, and ways they can respond to what they sense that can help or hurt people. I will discuss social and ethical issues these technologies raise. Finally, I will present some new possibilities for robots to both learn from people and help teach skills of emotional intelligence to people, especially to those with nonverbal learning impairments who often want to learn these skills, including many people with diagnoses of autism spectrum disorders such as Aspergers Syndrome.

Keywords: Affective computing, affective-cognitive state, Artificial intelligence, Aspergers Syndrome, Autism, Autism spectrum disorder, behavioural sciences, computer aided instruction, deception detection, Educational robots, emotion expression, emotion perception, emotion recognition, emotion understanding, Emotional Intelligence, empathic technology, ethical aspects, ethical issue, facial expression recognition, facial-head movement, human emotion learning, human emotion sensing, human-robot interaction, ieee xplore, image motion analysis, intelligent robots, Laboratories, learning (artificial intelligence), Media, medical disorders, MIT, Moral & Ethik, nonverbal learning impairment, paralinguistic vocal cue, physiological sensing, prosody analysis, robot emotional intelligence, Robot sensing systems, skills teaching, social issue, speech processing, system, Teaching

2016

2009

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