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Vorlesung Learning in Computer Science(für Master Learning Sciences)
Lecturer: Prof. Dr. Albrecht SchmidtÜbungsleitung: Francesco Chiossi, Julian Rasch
Kontakt nur über lcs ät um.ifi.lmu.de
Semesterwochenstunden:2 (Lecture/Tutorials Mixture)
ECTS-Credits: 66
Sprache: Englisch
Modul: Master Learning Sciences WP1.2.2 Learning in Computer Science
Aktuelles
- 30.08.2023 Die Seite befindet sich momentan im Aufbau.
Termine und Ort
Ort: Frauenlobstr. 7a, Room 357
Lecture: every Tuesday 10:00-12:00
Exercise: every Tuesday 12:00-14:00
Content
This course is targeted at students of learning science. The lecture and the tutorials introduce interface design for digital systems, i.e., Human-Computer Interaction. The course is in English and is designed for Master's level, but does not assume deep previous knowledge in Computer Science.
How do novice users react when confronted with novel interfaces of computerized systems? Can a clever system design prevent problematic situations like the deterrence of the user or operation errors? How can systems be tailored to a specific group of users? Finally, how can the design of a system intrinsically support a progressive learning curve for the users in mastering the system?
These questions will be the focus of the lecture. Theories and design approaches from the area of Human-Computer Interaction, a sub-discipline of Computer Science neighboring Cognitive Psychology, will be introduced in the lecture. Concrete techniques for a user-centered design process for computerized products will be presented, emphasizing "low-fidelity prototyping" techniques. These techniques enable a design phase, which decouples interaction issues from technical issues. In particular, all design steps in such a methodology can be carried out in principle without any prerequisite knowledge in technology or programming.
Recommended Readings
This year Physiological Interfaces and Multi-User Interactions in XR will be the core focus of the practical project in the course. We therefore recommend the following selection of readings:- Baker, C., & Fairclough, S. H. (2022). Adaptive virtual reality. In Current Research in Neuroadaptive Technology (pp. 159-176). Academic Press. https://doi.org/10.1016/j.intcom.2008.10.011
- Fairclough, S. H. (2009). Fundamentals of physiological computing. Interacting with computers, 21(1-2), 133-145. https://doi.org/10.1016/B978-0-12-821413-8.00014-2
- Hirzle, T., Müller, F., Draxler, F., Schmitz, M., Knierim, P., & Hornbæk, K. (2023, April). When XR and AI Meet-A Scoping Review on Extended Reality and Artificial Intelligence. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1-45). https://doi.org/10.1145/3544548.3581072
Vorläufiger Zeitplan
Task Demo & Project PitchDate | Time | Topic |
---|---|---|
17.10.2023 | 10:00-12:00 | Lecture: Motivation and Basics, Terms |
24.10.2023 | 10:00-12:00 | Tutorial |
12:00-14:00 | Project Introduction | |
31.10.2023 | 10:00-12:00 | Lecture: Design Process |
12:00-14:00 | Lecture: Ideation and Prototyping | |
07.11.2023 | 10:00-12:00 | Lecture: Mental Models - Understanable UIs |
12:00-14:00 | Group Forming & Project Ideation | |
14.11.2023 | 10:00-12:00 | Group Forming & Project Ideation |
12:00-14:00 | Lecture: Focus on Humans, Needs | |
21.11.2023 | 10:00-12:00 | Lecture: Human I - motor, cognition |
12:00-14:00 | Project work in groups | |
28.11.2023 | 10:00-12:00 | Lecture: Human II - emotion, attention |
12:00-14:00 | Project vision and plan presention | |
05.12.2023 | 10:00-12:00 | Lecture: Input and Output Technologies |
12:00-14:00 | Lecture: Human Erorrs and Error prevension | |
12.12.2023 | 10:00-12:00 | Lecture: Virtual Reality, Mixed Realiy, AR |
12:00-14:00 | Proiect work in groups | |
19.12.2023 | 10:00-12:00 | Final LCS Presentation |
12:00-14:00 | Final LCS Presentation | |
Winter Break | ||
Remark
Please note that due to the engaging nature of the group projects, students often spend more than the allocated time on the development of their prototypes. This is especially true for the group project implementation.