Lecture Introduction to Intelligent User Interfaces
Lecturer: Prof. Sven MayerTutorials: Luke Haliburton, Jesse Grootjen
Hours per week: 2 (Lecture) + 2 (Tutorial)
ECTS credits: 6
Language: English
Module: WP 12 Vertiefende Themen für Master Medieninformatik, Informatik und MCI
Capacity: max. 50
News
- 20.07.2023 This page is still under development, all content may be subject to change.
Dates and Locations
-
Lecture:
Date: Thu, 12:15-13:45
Location: see blow.
First session: 19.10.2023 -
Tutorial:
Date: Mon, 16:15-17:45
Location: Geschwister-Scholl-Platz 01, M109
First session: October 23, 2023
Contents
The module Intelligent User Interfaces (IUI) looks at current topics within the intersection of human computer interaction and machine learning. The course focuses on the adaptation of techniques originating from machine learning and artificial intelligence for practical applications within the research area of human computer interaction. Topics include (tentative):- Voice User Interfaces
- Natural Language Processing
- Recommender Systems
- Explainability of Intelligent Systems
- Physiologically-Based Interfaces
Students are expected to create their own intelligent system (in groups of four) over the course of the semester and present intermediate milestones throughout the tutorials. These include short concept presentations: explain how a new aspect as presented in the lecture integrates into your system; and milestone presentations a week later that showcase the implementation. This cycle repeats bi-weekly. Tutorials will also be used to introduce lecture topics in the form of hands-on exercises.
Lectures
All lectures will be in-persons. If recordings exist from prior years, they will not be played back in the session and have not to be watch upfront. Sessions will not be recorded.
| Date | Location | Topic | Recording for this Topic |
|
|---|---|---|---|---|
| 19.10.23 | Frauenlobstr. 7a, Kurssaal 140 | Introduction to Intelligent User Interfaces | Lecture 02 | |
| 26.10.23 | Pettenkoferstr. 11, A 202 | Context Awareness Interaction in Smart Environments | Lecture 07 | |
| 02.11.23 | Pettenkoferstr. 11, A 202 | Text and Natural Language Processing I by Fiona Draxler | Lecture 06 | |
| 09.11.23 | Pettenkoferstr. 11, A 202 | Text and Natural Language Processing II by Fiona Draxler | Lecture 06 | |
| 16.11.23 | Pettenkoferstr. 11, A 140 | Deceptive User Interfaces by Prof. Dr. Butz | Lecture 03 | |
| 23.11.23 | Pettenkoferstr. 11, A 202 | Recommender Systems | Lecture 11 | |
| 30.11.23 | Pettenkoferstr. 11, A 202 | Voice User Interfaces by Dr. Sarah Theres Völkel | ||
| 07.12.23 | Pettenkoferstr. 11, A 140 | Context Awareness Interaction in Smart Environments (Part II) and Intelligent Text Entry | Lecture 05 | |
| 14.12.23 | Nussbaumstraße 26 - Hörsaal Walther-Straub | Software Development in the Age of LLMs with Thomas Weber | ||
| 11.01.24 | Pettenkoferstr. 11, A 202 | Human-Robot Interaction with Jan Leusmann | ||
| 18.01.24 | Pettenkoferstr. 14, F 1.08 | Security and Privacy in the context of Intelligent User Interfaces by Prof. Florian Alt | ||
| 25.01.24 | Pettenkoferstr. 11, A 202 | Explainable AI, Bias and Ethics, and Q&A | Lecture 12 Lecture 13 |
|
| 01.02.24 | Pettenkoferstr. 14, F 1.08 | Discussion of Future Directions | ||
| 08.02.24 | Frauenlobstr. 7a, Room 357 | Final Presentations |
Exercises
Tutorial sessions will be in in-person only.
The exercises include different formats: (1) Live coding sessions in which the lecture content is applied in practice, (2) Project pitches in which students present the current status of their project and receive feedback.
Please note that the following exercise syllabus is tentative and subject to change over the course of the semester.
Dates with mandatory attendance are marked with an "*".
| Date | Topic |
|---|---|
| 23.10.23 * | Organization, Live Coding Session: Introduction to Python and ML |
| 30.10.23 | Live Coding Session (ML Intro) + Q&A |
| 06.11.23 * | Project Ideation + Q&A |
| 13.11.23 * | 1min Project Pitches |
| 20.11.23 | Live Coding Session (NLP) + Individual Help for Projects if Needed |
| 27.12.23 * | 3min Project Pitches: Show Current Project Status |
| 04.12.23 | Live Coding Session (Voice) + Individual Help for Projects if Needed |
| 11.12.23 * | 5min Project Report: Show Current Project Status |
| 18.12.23 | Live Coding Session (TBD) |
| 15.01.24 | Live Coding Session (TBD) |
| 22.01.24 | Individual Help for Projects if Needed |
| 29.01.24 | Introduction to Giving Great Project Presentations, Individual Help for Projects |
| 05.02.24 | Q&A: Exam preparation |
Tasks
- Attend all classroom events (lectures AND tutorials)
- Presentation of concepts and milestones for the project
- Final project presentation
- Project contribution statement (who in the group did what)
- Exam
Recommended Prior Knowledge
- Human Computer Interaction
- Machine Learning, e.g. Pratical Machine Learning
Exam
The exam will consist of two parts:
- Your practical project including the final presentation (1/3 of the final grade)
- An exam about the content of the lectures and exercises (2/3 of the final grade)
- Note: To pass the course, both parts must be passed independently of each other.
Please find the dates for the exams here:
- 20-02-2024 10:00 - 12:00 Thalkirchnerstr. 36 Room 151
