392202 From Tools to Teammates: Human-Aware AI (S) (SoSe 2023)

Contents, comment

The seminar focuses on Artificial Intelligence systems in the form of virtual and robotic agents that work in team-like settings with human and other agents. The aim of the seminar is to provide a comprehensive overview of the current state of the art and to map out recent and future developments necessary to enable AI agents to perform effectively in team-like situations while being aware of their human counterparts. We will cover various aspects of AI, including human activity and state recognition, human-aware planning, explainability and explicability of system behavior, and scaling the approaches to larger team sizes. Students will be expected (1) to give a presentation on one sub-theme of the seminar, drawing on recent research publications and established theories, (2) to prepare themselves for each session by reading a paper and submitting questions, (3) to write an essay of about 8-10 pages on a topic of choice within the area of the seminar.

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  

Show passed dates >>

Subject assignments

Module Course Requirements  
39-Inf-11 Mensch-Maschine-Interaktion Vertiefung Mensch-Maschine-Interaktion Ungraded examination
Student information
39-Inf-KMI Kognitive Mechanismen sozialer Interaktion Kognitive Mechanismen sozialer Interaktion Ungraded examination
Graded examination
Student information
39-M-Inf-VHC_a Virtual Humans and Conversational Agents Virtual Humans/Verhaltenssimulation Study requirement
Ungraded examination
Graded examination
Student information

The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.

No more requirements

E-Learning Space

A corresponding course offer for this course already exists in the e-learning system. Teaching staff can store materials relating to teaching courses there:

Registered number: 36
This is the number of students having stored the course in their timetable. In brackets, you see the number of users registered via guest accounts.
Address:
SS2023_392202@ekvv.uni-bielefeld.de
This address can be used by teaching staff, their secretary's offices as well as the individuals in charge of course data maintenance to send emails to the course participants. IMPORTANT: All sent emails must be activated. Wait for the activation email and follow the instructions given there.
If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_395402673@ekvv.uni-bielefeld.de
Coverage:
36 Students to be reached directly via email
Notes:
Additional notes on the electronic mailing lists
Email archive
Number of entries 3
Open email archive
Last update basic details/teaching staff:
Friday, February 24, 2023 
Last update times:
Friday, February 17, 2023 
Last update rooms:
Friday, February 17, 2023 
Type(s) / SWS (hours per week per semester)
S / 2
Language
This lecture is taught in english
Department
Faculty of Technology
Questions or corrections?
Questions or correction requests for this course?
Planning support
Clashing dates for this course
Links to this course
If you want to set links to this course page, please use one of the following links. Do not use the link shown in your browser!
The following link includes the course ID and is always unique:
https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=395402673
Send page to mobile
Click to open QR code
Scan QR code: Enlarge QR code
ID
395402673