Module Number

INFO-4380 		Module Title

Gaze-based Human-Computer Interaction 		Lecture Type(s)

Lecture, Tutorial
ECTS 6
Work load
- Contact time
- Self study
Workload:
180 h
Class time:
60 h / 4 SWS
Self study:
120 h
Duration 1 Semester
Frequency In the summer semester
Language of instruction English
Type of Exam

Written exam (if the number of participants is small, an oral exam may be required)
Content

Topics: In-depth topics in visual perception (fixations, saccades, gaze patterns), mechanisms of visual attention, measurement of eye movements (eye-tracking), analysis of eye-tracking data with machine learning methods, gaze-based control of computer systems, use of gaze information for interactive systems (incl. applications in virtual (VR) and augmented reality (AR)).
Objectives

The students master theoretical methods of gaze-based interaction and can apply them in a problem-oriented manner. They are able to implement specialist knowledge and research methods acquired during their studies in a project and apply them to industrial practice. The students also master machine learning methods for the analysis and interpretation of eye-tracking data in the field of human-machine interaction and are able to transfer these independently to problem areas in computer science and apply them appropriately to the situation.
Allocation of credits / grading
Type of Class
Status
SWS
Credits
Type of Exam
Exam duration
Evaluation
Calculation
of Module (%)
Lecture
V
o
2
3.0
wt
90
g
100
Tutorial
Ü
o
2
3.0
Prerequisite for participation There are no specific prerequisites.
Lecturer / Other Kübler
Literature

Vorlesungsfolien, zusätzliche Literatur wird bekanntgegeben
Last offered ---
Planned for ---
Assigned Study Areas INFO-INFO, INFO-PRAK, INFO-TECH, MEDI-APPL, MEDI-HCI, MEDI-INFO, MEDI-MEDI, ML-CS