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2017
Côté, Stéphane (2017): Enhancing managerial effectiveness via four core facets of emotional intelligence. Self-awareness, social perception, emotion understanding, and emotion regulation. In: Organizational Dynamics 46 (3), S. 140-147. DOI: 10.1016/j.orgdyn.2017.05.007

DOI: https://doi.org/10.1016/j.orgdyn.2017.05.007

Abstract: Emotional intelligence–—a concept proposed by academic researchers about 25 years ago–—is a set of capabilities that managers can leverage to be more effective. Equipped with emotional capabilities, managers can leverage opportunities and address challenges that they encounter on a daily basis. Managers can develop better relationships with their employees, influence them more effectively, and have better performing employees and teams to the extent that they leverage emotional intelligence. (PsycINFO Database Record (c) 2017 APA, all rights reserved)

Keywords: Arbeits - und Organisationspsychologie, Awareness, emotion regulation, emotion understanding, Emotional Intelligence, Emotional Regulation, Emotions, Emotionsforschung, Management Personnel, managerial effectiveness, Personalmanagement, self-awareness, Social intelligence, Social Perception, Soziale Intelligenz, Supervisor Employee Interaction
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

2017

2009

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