In my research I want to improve the design of video-based meeting systems to help users avoid displeasuring states, such as high cognitive load or fatigue. Therefore, I want to use biosignals to recognize and classify the user's current state and adapt the system accordingly. My main topics of interest are:
- Video-based meeting systems and their impact on the user
- System adaptations based on user's (bio)signals
- Recognition and classification of user states with machine learning (ML) techniques
- Experimental Research
|Since 10.2021||Doctoral Researcher at the Institute of Information Systems and Service Design (ISSD) at the KIT|
|2018-2021||M.Sc. Industrial Engineering & Management, KIT|
|2014-2018||B.Sc. Industrial Engineering & Management, KIT|
Internships and work experience at adesso SE, Mitsubishi Fuso Truck and Bus Corporation (MFTBC, Kawasaki, Japan) and EnBW AG.
- KD2School (https://www.kd2school.info/index.html)
If you are interested in a Bachelor or Master Thesis in a related topic to my research interests, send a mail to julia.seitz∂kit.edu with your CV and your current transcript of records.
I am also interested to hear your own topic ideas in the area of Video-based meeting systems, recognizing user states via biosignals (Eye, Heart Data) or adapting systems based on biosignals.
Current Thesis Topics:
|A Classification of Video Meeting System Design Features||Bachelor Thesis|
|Understanding Mirroring Gaze Behavior During Remote Meetings||Bachelor/ Master Thesis|