Diese Veanstaltung wird im Sommersemester 2020 nicht angeboten.
Benutzerschnittstellen
Inhalt
Diese Vorlesung führt in die Prinzipien der Mensch-Maschine-Interaktion ein, erklärt Gestaltungs- und Entwicklungsprinzipien multimodaler Benutzerschnittstellen und erläutert deren technische Realisierung. Grundlagen in Usability Engineering sowie die Evaluierung multimodaler Benutzerschnittstellen werden ebenfalls diskutiert.
SS 2016
- User Interfaces for Human-Robot Conversation
- Machine Learning for Dialogue Systems
- Human-like Spoken Dialogue Systems
- Telerobotic Systems
- Assistive Living Environments
- Off-talk Detection within an Automatic Spoken Dialogue System
- Mobile Speech Recognition
- Interaction with Intelligent Assistants
- Social Robotics
- A Future Generation of User Interfaces
- Biometrics in User Interfaces
- Eye- and Face-Tracking in Human-Computer Interactions
- Handling Non-Cooperative Users in Human-Computer Interfaces
- Human-Computer Interfaces for Educational Systems
- Advanced Driver Assistance Systems
- Internet of Things
- Augmented Reality
- Privacy and Security in User Interfaces
- Smart Watches and Bracelets
- User Interfaces across Generations
- Multimodal Emotion Recognition
SS 2015
- Smartphone security and privacy
- User's State Recognition: verbal intelligence
- Semantic Web Search
- User's state recognition: gender and age
- Speech recognition: feature extraction
- Emotion recognition for individuals with autism spectrum conditions
- Natural language call routing
- Smart Watches
- Adaptive dialogue modelling
- User's state recognition: emotions
- Speech recogniton: acoustic models
- Speech recognition: lexical and language models
- Speech recognition: classification methods
- Language recognition
- Multi-domain spoken dialogue systems
- Multi-user spoken dialogue systems
- Speaker verification
SS 2014
- Datensicherheit und Privacy in Benutzerschnittstellen
- Intelligente Wohnungen
- Multimodalitat: Agreement und Disagreement Erkennen
- Verbal Intelligenz Erkennung
- Virtual vs. Augmented Reality
- Fahrassistenzsysteme
- Sprecherentifikation
- Opinion-mining und Sentiment Detektion
- Automatische Ubersetzung
- Sprachsignalbasierte Emotionserkennung
- Visuelle signalbasierte Emotionserkennung
- Text-to-Speech Synthesis
SS 2013
- Eye-Tracking
- Situated Dialogue
- User Simulation
- Natural Language Understanding
- Metrics and Evaluation of Spoken Dialogue Systems
- Mobile Speech Recognition and Interaction (Siri, Google Voice)
- Multimodal Dialogue Systems
- Gestenerkennung in multimodalen Systemen
- Sprachein- und Ausgabe im Browser
- Sprechererkennung aus Sprache
SS 2012
- Modelling Probabilistic Knowledge
- Markov Logic Networks in Dialogue Systems
- Natural Language Generation Frameworks
- Avatars
- Dialogue Systems Architectures
- Multimodal Dialogue Systems Applications
- Evaluation in Dialogue Systems
SS 2011
- An Overview of Dialogue Modelling
- Decisions under Uncertainty
- Dialogue and Emotion
- Human Computer Trust
- Multimodal Dialogue Management - A Survey
- Natural Language Generation
- POMDP - Different Architectures
- User Modelling in Ontologies
SS 2010
- Affective Computing
- Augmented Reality
- Dialogue and Negotiation
- Emotional Intelligence in Spoken Language Dialogue Systems
- Empathy in Companion Systems
- Lumiere Project
- Multimodal Dialogue Modeling
- User Frustration
- User Modeling and Profiling
SS 2009
- Emotion Recognition in SpokenDialogueSystems
- Biometrics
- Evaluation
- Adaptive Interfaces
- Proactivity
- Complex Multimodal Systems
- Comparing User Interfaces
- 3D
- Virtual Humans
Kontakt
Dozent:
Prof. Dr. Dr.-Ing. Wolfgang Minker
Übungsleiter:
M.Sc. Matthias Kraus
M.Sc. Nicolas Wagner
Sprache
Deutsch
Voraussetzungen
Keine Vorkenntnisse erforderlich.
Prüfung
In der Regel mündliche Prüfung, ansonsten schriftliche 90-minütige Prüfung. Voraussetzung für die Prüfungszulassung ist die erfolgreiche Teilnahme an der Übung.
Weitere Informationen
Wochenstunden: 2V + 2S
6 ECTS
Materialien zur Vorlesung/Übung über Moodle-Kurs
LSF - ENGC 70396
Moodle - ENGC 70396