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  • 2019

  • Riva, Giuseppe; Riva, Eleonora (2019): Sharing the workplace with robots? New tool helps designers create safer socially oriented machines. In: Cyberpsychology, Behavior, and Social Networking 22 (5), S. 360-361. DOI: 10.1089/cyber.2019.29151.ceu

    DOI: https://doi.org/10.1089/cyber.2019.29151.ceu 

    Abstract: This article aims to to describe the characteristics of current cyberpsychology research in Europe. In particular, CyberEurope aims at describing the leading research groups and projects running on the other side of the Ocean. Human safety is a primary concern in human–robot interaction (HRI). When there is physical contact between humans and robots, dangerous collisions are likely. The safety map helps users to determine if the robot they are designing is capable of inflicting specific injuries during unexpected collisions. They can also pinpoint the most dangerous areas in the robot’s workspace and compare their robot with others in terms of safety characteristics. As a result, designers have clear information at their fingertips about the injuries most likely to occur during operation. This helps to guide the hardware design process, and also contributes to safe control and motion planning for the robot being designed. (PsycINFO Database Record (c) 2019 APA, all rights reserved)

  • 2016

  • Ficocelli, Maurizio; Terao, Junichi; Nejat, Goldie (2016): Promoting Interactions Between Humans and Robots Using Robotic Emotional Behavior. In: IEEE Trans Cybern 46 (12), S. 2911-2923. DOI: 10.1109/TCYB.2015.2492999

    DOI: https://doi.org/10.1109/TCYB.2015.2492999 

    Abstract: The objective of a socially assistive robot is to create a close and effective interaction with a human user for the purpose of giving assistance. In particular, the social interaction, guidance, and support that a socially assistive robot can provide a person can be very beneficial to patient-centered care. However, there are a number of research issues that need to be addressed in order to design such robots. This paper focuses on developing effective emotion-based assistive behavior for a socially assistive robot intended for natural human-robot interaction (HRI) scenarios with explicit social and assistive task functionalities. In particular, in this paper, a unique emotional behavior module is presented and implemented in a learning-based control architecture for assistive HRI. The module is utilized to determine the appropriate emotions of the robot to display, as motivated by the well-being of the person, during assistive task-driven interactions in order to elicit suitable actions from users to accomplish a given person-centered assistive task. A novel online updating technique is used in order to allow the emotional model to adapt to new people and scenarios. Experiments presented show the effectiveness of utilizing robotic emotional assistive behavior during HRI scenarios.

  • 1990

  • Sesink, Werner (1990): "Künstliche Intelligenz", Systemreproduktion und Bildung. In: Neue Sammlung 30 (2), S. 193-207

    Abstract: Künstliche Intelligenz wird im Zusammenhang mit dem systematischen und geschichtlichen Aspekt von Bildung, mit Biokybernetik und Soziokybernetik diskutiert. Falls es in der Zukunft möglich ist, Maschinen herzustellen, die denken, lernen und schöpferisch tätig sein können, so stellt sich die Frage, was es für das menschliche Denken über Bildung bedeutet, dass diese Fähigkeiten vom Menschen abtrennbar sind und welchen Sinn die pädagogische Überlieferung von einer Generation zur nächsten noch hat. Das objektive Funktionsgefüge einer Gesellschaft braucht eine Entsprechung im Gefüge subjektiver Qualifikationen. Pädagogik hat die Aufgabe, diese Entsprechung herzustellen. Im Gegensatz zur künstlichen Intelligenz, die vergangene Leistungen des menschlichen Geistes konservieren und Daten nur anhand vorher festgelegter Begriffe wahrnehmen kann, ist die menschliche Intelligenz fähig zur Kritik. Diese verhilft dazu, aus der Vergangenheit zu lernen und die Zukunft zu planen.

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