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2009
Meyer, Christine Sandra; Hagmann-von Arx, PRISKA; Grob, Alexander (2009): Die Intelligence and Development Scale Sozial-Emotionale Kompetenz (IDS-SEK). Psychometrische Eigenschaften eines Tests zur Erfassung sozial-emotionaler Fähigkeiten. In: Diagnostica 55 (4), S. 234-244. DOI: 10.1026/0012-1924.55.4.234

DOI: https://doi.org/10.1026/0012-1924.55.4.234

Abstract: Tested psychometric properties of the Intelligence and Development Scales Sozial-Emotionale Kompetenz Skala (IDS-SEK). To address a lack of adequate measures for capturing the social-emotional abilities of children, the IDS-SEK was constructed. The test measures social-emotional abilities on the dimensions (1) Emotion Recognition (EE), (2) Emotion Regulation (ER), (3) Understanding of Social Situations (SV), and (4) Social-Operation Competence (SH). Results of studies conducted with 839 5- to 10-year-olds from Switzerland support the scale's construct and criterion validity. Comparisons (matched for age, sex, and intelligence quotient) of children without behavioural problems, with Asperger syndrome (n = 38), and with aggressive-behavioral problems (n = 57) provided additional proof of the scale's differentiation ability. It is concluded that the IDS-SEK is well suited to measure capabilities and deficits in the social-emotional domain in a multidimensional way and can be used as the basis of specific interventions.

Keywords: Aggressionsverhalten, Aggressive Behavior, Aspergers Syndrome, Asperger-Syndrom, Autism Spectrum Disorders, Autismus-Spektrum-Störung, Developmental Scales & Schedules, emotion recognition, Emotional Regulation, Emotionen, Emotions, Emotionserkennung, Emotionsforschung, Emotionsregulation, Entwicklungstests, Personality Scales & Inventories, Persönlichkeitstests, psychometrics, Psychometrie, Psychosocial & Personality Development, Psychosoziale Entwicklung und Persönlichkeitsentwicklung, Social intelligence, Social Skills, Soziale Fertigkeiten, Soziale Intelligenz, Test Validity, Testvalidität, Verhaltensforschung
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

2009

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