inf5456 - Applied AI - Multimodal-Multisensor Interfaces I: Foundations, User Modeling, and Common Modality Combination - Campusmanagementsystem Stud.IP

inf5456 - Applied AI - Multimodal-Multisensor Interfaces I: Foundations, User Modeling, and Common Modality Combination

Department of Computing Science

3 KP

Semester courses Winter semester 2024/2025

Type of course: Seminar

2.01.5456 - Applied AI - Multimodal-Multisensor Interfaces 1: Foundations, User Modeling, and Common Modality Combination
- Rida Saghir
- Ilira Hiller
- Hannes Kath
- Prof. Dr. Daniel Sonntag
The course times are not decided yet.

Notes on the module

Prerequisites	basic concepts of Artificial Intelligence, Human-Computer Interfaces
Kapazität/Teilnehmerzahl	12
Prüfungszeiten	at the end of the lecture period
Module examination	oral exam or portfolio or presentation
Skills to be acquired in this module	Learning methods of multimodal interaction, learning Human-Computer Interaction concepts. Professional competences The students work their way into the topic of multimodality (competence: basic concepts of multimodality, develop an intuition for multimodal approaches, multimodal fusion techniques). Methological competences The students prepare a term paper on a special topic in the field of multimodality (competence: quick comprehension, structured literature review, precise expression). Social competences The students choose a topic and interact with each other and the supervising person (competence: communication skills, enthusiasm, initiative) Self competences The students work independently in a supervised setting (competencies: Personal responsibility, analytical thinking, organization, time management).