Lecture Introduction to Intelligent User Interfaces
Lecturer: Prof. Dr. Sven MayerTutorials: Luke Haliburton, Jesse Grootjen
Hours per week: 2 (Lecture) + 2 (Tutorial)
ECTS credits: 6
Language: English
Module: Vertiefende Themen für Master Medieninformatik, Informatik und MCI
Capacity: max. 50
News
- 20.06.2022: This page is still under development, all content may be subject to change.
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.
Dates and Locations
-
Lecture:
Date: Thu, 12:15-13:45
Location: Geschwister-Scholl-Platz 01, M109
First session: October 20, 2022 -
Tutorial:
Date: Mon, 16:00-18:00
Location: Geschwister-Scholl-Platz 01, M109
First session: October 31, 2022
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
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 | Topic | Recording for this Topic |
|---|---|---|
| 20.10.22 | Introduction to Intelligent User Interfaces | Lecture 02 |
| 27.10.22 | Text and Natural Language Processing I + Example | Lecture 06 |
| 03.11.22 | Text and Natural Language Processing II | Lecture 06 |
| 10.11.22 | Deceptive User Interfaces | Lecture 03 |
| 17.11.22 | Security and Privacy in the context of Intelligent User Interfaces by Prof. Florian Alt | |
| 24.11.22 | Voice User Interfaces by Sarah Theres Völkel | |
| 01.12.22 | Introduction to Human-Robot Interaction I | |
| 08.12.22 | Introduction to Human-Robot Interaction II by Dr.-Ing. Alexander Dietrich | |
| 15.12.23 | Recommender Systems | Lecture 08 Lecture 09 Lecture 10 Lecture 11 |
| 12.01.23 | Intelligent Text Entry | Lecture 05 |
| 19.01.23 | Context Awareness Interaction in Smart Environments | Lecture 07 |
| 26.01.23 | Explainable AI, Bias and Ethics, and Q&A | Lecture 12 Lecture 13 |
| 02.02.23 | Human Centered AI + Discussion of Future Directions | |
| 09.02.23 | 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 |
|---|---|
| 31.10.22 * | Organization, Live Coding Session: Introduction to Python and ML |
| 07.11.22 | Live Coding Session (ML Intro) + Q&A |
| 14.11.22 * | Project Ideation + Q&A |
| 21.11.22 * | 1min Project Pitches |
| 28.11.22 | Live Coding Session (NLP) + Individual Help for Projects if Needed |
| 05.12.22 * | 3min Project Pitches: Show Current Project Status |
| 12.12.22 | Live Coding Session (Recommender systems) + Individual Help for Projects if Needed |
| 09.01.23 * | 5min Project Report: Show Current Project Status |
| 16.01.23 | Live Coding Session (Voice) |
| 23.01.23 | Individual Help for Projects if Needed |
| 30.01.23 | Introduction to Giving Great Project Presentations, Individual Help for Projects |
| 06.02.23 | Q&A: Exam preparation |
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:
- The writtern online exams will take place in room M018 on the 2023-02-27 statring at 10:00 ending at 12:00. Please register for the exam on Uni2work.
