143411a Künstliche Intelligenz in der Interaktion zwischen Mensch und Maschine

Zuletzt geändert:	23.06.2023 / Becker-Asano
EDV-Nr:	143411a
Studiengänge:
Dozent:
Link zur Veranstaltung / zum E-Learning-Kurs:	https://learn.mi.hdm-stuttgart.de/ilias/goto.php?target=crs_31690_rcodewxNTdwYYBU&client_id=iliasclient1
Sprache:	Englisch
Art:	-
Umfang:	4 SWS
ECTS-Punkte:	5
Workload:	Lecture: 15 x 4 SWS = 45 hours Pre- and Postprocessing: 15 x 6 SWS = 67.5 hours Practical programming: 5 days, 8 hours/day = 40 hours Overall Workload =152.5 hours
Inhaltliche Verbindung zu anderen Lehrveranstaltungen im Modul:	Having learned the topics of the lecture "Machine-Learning" (143104a, https://www.hdm-stuttgart.de/vorlesung_detail_edvnr?edvnr=143104a) is beneficial, though not mandatory.
Prüfungsform:
Bemerkung zur Veranstaltung:	Englisch
Beschreibung:	The course will be 100% in English! Active participation is mandatory throughout the course! Presenting a chapter of the book Choosing a related, scientific paper and presenting it Implementing a "social function" for a robotic system in the Humanoid Lab Final presentation of implemented system
English Title:	AI for Human-Machine Interaction
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.
Literatur:	Human-Robot Interaction, Bartneck et al., 2020, https://doi.org/10.1017/9781108676649 (can and should be downloaded by using the University's "Campus-License" to login!) Weitere Literatur finden Sie in der HdM-Bibliothek.
Internet:	See: https://learn.mi.hdm-stuttgart.de/ilias/goto.php?target=crs_31690_rcodewxNTdwYYBU&client_id=iliasclient1