Research Interest

My name is Luke Shi Liu. I work as a doctoral researcher at the Information System I Group and the Biosignal-adaptive Systems team.

I'm interested in exploring how immersive technologies such as Mixed Reality (MR) can support users in Human-Computer Interaction (HCI), especially in learning contexts. My research focus includes design and prototyping methods for MR, eye-tracking in MR and developing MR-based learning systems.

If you are interested in these topics, please don't hesitate to contact me.

Projects

AI for Business | Business for AI (ABBA) (Running)

EXPLORE-AI! - Exploratory Learning of AI with Immersive & Interactive Systems (Finished)

Short CV

2022-	Doctoral Researcher	Karlsruhe Institute of Technology (KIT) Human-centered systems Lab (h-lab)	Karlsruhe, Germany
2019 - 2022	M.Sc. in Human-Computer Interaction	University of Siegen	Siegen, Germany
2015 - 2019	B.Sc. in Industrial Design	Beijing Institute of Technology	Beijing, China

Teaching

Theses / Seminars

Drop me an email with your résumé and transcript(s) if you are interested in one of the open topics below. Even if there are no open topics, feel free to contact me if you are interested in MR topics in general. I'm always looking forward to discussions.

Human-centered Design Methods for Mixed Reality Systems	Bachelor's Thesis (Done)
Designing a Blended Learning System for Machine Learning Skills using Mixed Reality and the Desktop Computer	Bachelor's Thesis (Done)

Publikationsliste

Enhancing AI Education for Business Students through Extended Reality: An Exploratory Study
Schulz, T.; Liu, S.; Mädche, A.; Weinhardt, C.
2024. MuC ’24: Proceedings of Mensch und Computer 2024. Ed.: A. Maedche; M. Beigl, 599–604, Association for Computing Machinery (ACM). doi:10.1145/3670653.3677506

An Immersive Learning Factory for AI & Data Literacy: An Exploratory Study in the Wild
Liu, S.; Schulz, T.; Toreini, P.; Mädche, A.
2023. Mensch und Computer 2023, 349–353, Association for Computing Machinery (ACM). doi:10.1145/3603555.3608564

AI and Literacy for Non-Technical Students: A Hybrid-Augmented Learning Factory
Liu, S.; Schulz, T.; Toreini, P.; Peukert, C.; Maedche, A.; Weinhardt, C.
2023, April 28. Conference on Human Factors in Computing Systems (CHI 2023), Hamburg, Germany, April 23–28, 2023

PrintAssist - A conversational human-machine interface for 3D printers
Jasche, F.; Weber, P.; Liu, S.; Ludwig, T.
2023. i-com, 22 (1), 3–17. doi:10.1515/icom-2022-0045

An Immersive ’Proto Learning Factory’ Concept for Teaching AI Competencies
Schulz, T.; Liu, S.; Peukert, C.; Toreini, P.; Maedche, A.; Weinhardt, C.
2023. SSRN Electronic Journal. doi:10.2139/ssrn.4470430

Designing Gaze-Aware Attention Feedback for Learning in Mixed Reality
Liu, S.; Toreini, P.; Maedche, A.
2022. Pfleging, B., Gerling, K. & Mayer, S. (Hrsg.), Mensch und Computer 2022 - Tagungsband, 495–500, Association for Computing Machinery (ACM). doi:10.1145/3543758.3547565

Supporting the Onboarding of 3D Printers through Conversational Agents
Liu, S.; Harun, S. E.; Jasche, F.; Ludwig, T.
2021. Proceedings of Mensch und Computer 2021. Ed.: S. Schneegass, 494–498, Association for Computing Machinery (ACM). doi:10.1145/3473856.3474010