Veranstaltungsbeschreibung

143411a Künstliche Intelligenz in der Interaktion zwischen Mensch und Maschine

Diese Veranstaltung für Evaluation, Skriptezugriff etc. speichern
Zuletzt geändert:	12.03.2025 / Becker-Asano
EDV-Nr:	143411a
Studiengänge:	Computer Science and Media (Master), Prüfungsleistung im Modul Künstliche Intelligenz in der Interaktion zwischen Mensch und Maschine in Semester 1 2 3 Häufigkeit: unregelmäßig
Dozent:	Prof. Dr. Christian Becker-Asano
Link zur Veranstaltung / zum E-Learning-Kurs:	ILIAS
Sprache:	Deutsch
Art:	-
Umfang:	4 SWS
ECTS-Punkte:	5
Prüfungsform:
Beschreibung:	The course will provide a practical introduction to the research field of social robotics, with a particular human-centered perspective. Human-robot interaction is a highly interdisciplinary field of research. It combines methods from a range of disciplines, including social sciences, ethology, primatology, developmental psychology, computer science, engineering and Artificial Intelligence. Robots that can interact socially in an effective and acceptable manner with people have become increasingly important for applications ranging from robot-assisted therapy for people with special needs, robotic assistants for older people and care home residents, robots as tools in education, or robotic co-workers for a new generation of industrial robot that emphasize human-machine collaboration and communication. The students will discuss ideas, theories, approaches and applications of social robotics and they will gain an understanding of the concepts and theories underlying social robotics. Furthermore, they will get hands-on experience with research methodologies and techniques to realize socially intelligent robots and design, plan and evaluate human-robot interaction experiments.
English Abstract:	The course will provide a practical introduction to the research field of social robotics, with a particular human-centered perspective. Human-robot interaction is a highly interdisciplinary field of research. It combines methods from a range of disciplines, including social sciences, ethology, primatology, developmental psychology, computer science, engineering and Artificial Intelligence. Robots that can interact socially in an effective and acceptable manner with people have become increasingly important for applications ranging from robot-assisted therapy for people with special needs, robotic assistants for older people and care home residents, robots as tools in education, or robotic co-workers for a new generation of industrial robot that emphasize human-machine collaboration and communication. The students will discuss ideas, theories, approaches and applications of social robotics and they will gain an understanding of the concepts and theories underlying social robotics. Furthermore, they will get hands-on experience with research methodologies and techniques to realize socially intelligent robots and design, plan and evaluate human-robot interaction experiments.