M.Sc. Markus Döllken

Field of Research

Investigation of visual paths during the analysis of technical systems
Investigation of visual paths in the synthesis of production-specific components
Gaze-Aware Design Guidelines
Investigation of gaze paths during the use of feedback
Eye-tracking with the measurement of gaze entropy
Cognitive Load
Machine Learning in Assistance Systems

Research Focus

Derivation of analysis methods for design engineers
Derivation of synthesis methods for design engineers
Development of a Gaze-Aware Feedback laboratory for engineering assistance

Bachelor- / Mastertheses

If you are interested in a B.Sc. / M.Sc. thesis or a literature review/research internship, please send me an email with your application and a grade transcript.
I always have open positions and do not post them all. If you are interested in the field of machine learning, assistance systems, eye-tracking, setting up experiments, data analysis of eye-tracking raw data, cognitive load etc., I am always looking for motivated students. Especially those who love to be creative and also like to take challenges.
Check out some interesting links here:
SpritzJet spin-off from an eye-tracking research; eye-tracking robot control; gaze eye-tracking control.
I would like to set up an eye-tracking assistance/feedback lab with you.
Current bachelor- and master-theses can be found here.

Publications

An overview of the publications can be found at ResearchGate

Publications

2021

AI-Based knowledge extraction for automatic design proposals using design-related patterns.
Krahe, C.; Kalaidov, M.; Doellken, M.; Gwosch, T.; Kuhnle, A.; Lanza, G.; Matthiesen, S.
2021. Procedia CIRP, 100, 397–402. doi:10.1016/j.procir.2021.05.093

Implementing innovative gaze analytic methods in design for manufacturing: a study on eye movements in exploiting design guidelines.
Doellken, M.; Zapata, J.; Thomas, N.; Matthiesen, S.
2021. Procedia CIRP, 100, 415–420. doi:10.1016/j.procir.2021.05.097

Identifying an opportunistic method in design for manufacturing: an experimental study on successful a on the manufacturability and manufacturing effort of design concepts.
Doellken, M.; Arndt, L.; Nelius, T.; Matthiesen, S.
2021. Procedia CIRP, 100, 720–725. doi:10.1016/j.procir.2021.05.090

2020

Restrictive and Opportunistic Method in Design for Manufacturing.
Doellken, M.; Arndt, L.; Buehlmeier, J.; Matthiesen, S.
2020, December 9. doi:10.5445/IR/1000127148

The impact of confirmation bias on reasoning and visual attention during analysis in engineering design: An eye tracking study.
Nelius, T.; Doellken, M.; Zimmerer, C.; Matthiesen, S.
2020. Design studies, 71, Article: 100963. doi:10.1016/j.destud.2020.100963

Challenges Faced by Design Engineers when Considering Manufacturing in Design – An Interview Study.
Doellken, M.; Zimmerer, C.; Matthiesen, S.
2020. Proceedings of the Design Society: DESIGN Conference, 1, 837–846. doi:10.1017/dsd.2020.302

2019

Improving Decision Making by teaching Debiasing Approaches – motivating Engineering students with Reflection.
Nelius, T.; Eisenmann, M.; Doellken, M.; Hergl, M.; Matthiesen, S.
2019. 2. Conference "Human Behaviour in Design", Tutzing, 23.-24. April 2019

2018

Das Systemverständnis reflektieren – Kritisches Hinterfragen als Einflussgröße in der Analyse.
Matthiesen, S.; Eisenmann, M.; Döllken, M.
2018. 29. DfX-Symposium 2018, Tutzing, 25.-26. September 2018. Hrsg.: D. Krause, 12