• Offered by: UMTL (Chair of Prof. Dr. Antonio Krüger) 
• Lecturers: Dr. Michael Feld, Amr Gomaa, Julian Wolter 
• Location: tbd 
• Time: Tuesday, 10:15-11:45 
• Credit Points: 7 
• Language: English 
• Places: 14
• Mode: Online
• Grading criteria: Your grade will be based on an individual paper presentation of a selected scientific paper, a practical group assignment and active participation in the discussion rounds.

Announcements

• If you're interested in the seminar and didn't manage to get a spot, please email michael.feld@dfki.de expressing your interest, and if after the first week there's an available spot, we'll contact you to let you know.
• The kick-off meeting will be on Tuesday 08.11.2022 at 10:00. We will provide a link via MS Teams.

Seminar Overview

Personalized user interfaces are a core AI topic and relevant across all domains - from web interfaces and support chatbots, over home automation and driver assistance systems, to industrial robots and medical support utilities. The task of Artificial Intelligence is to ensure that such systems not only provide accurate information or functionality, but that it is relevant to their users and in the current situation, and presented in a way that fits its purpose. This process is realized mainly through knowledge about the user, available in either symbolic (e.g. preferences) or subsymbolic (e.g. eye-gaze data) manner, and algorithms which use this knowledge to realize the adaption (e.g. to provide proactive assistance). For example, a robot which can perform a particular task could optimize its interaction with a user who requests the task if it knows about the typical preferences of the user, and keep learning based on further feedback.

In this practical seminar, we will look at the different AI components that make up a system that can continuously adapt to the user:
(1) Acquisition of knowledge about the user, primarily focused on Natural Language (speech) input
(2) Presentation of a personalized user interface (can be pseudo-functional)
(3) Continuous learning algorithms for adapting the user interfaces

You will work both on an INDIVIDUAL topic (talk) and on practical GROUP projects, where each group looks at a speech-enabled adaptive system from a different application scenario, including the domains listed above. Grading criteria are an individual presentation, practical group work results, and active participation.