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Information Retrieval

Contact: Maurice Schleußinger

In Information Retrieval we are interested in understanding, developing and optimising the process of retrieving relevant information from a (digital) system. Web search engines like Google or Baidu are good examples of Information Retrieval systems, but many apps and services such as online shopping, Social Media and digital personal assistants also have search functionality.
Related fields are Human-Computer Interaction, Natural language processing and Computer Science.
Current research in our institute includes the intersection of Data Visualisation and Information Retrieval and efforts to develop Information Retrieval systems for use within Virtual Reality.


Schleußinger, M. (2021). Information retrieval interfaces in virtual reality—A scoping review focused on current generation technology. PLOS ONE, 16(2), e0246398. https://doi.org/10.1371/journal.pone.0246398

Schleußinger, M., & Henkel, M. (2018). Evaluating a Visual Search Interface. Proceedings of the International Conference on Library and Information Science. 2018 International Conference on Library and Information Science (LIS 2018), Bangkok, Thailand. https://doi.org/10.17605/OSF.IO/MUSD8

Schleußinger, M., & Henkel, M. (2018). Knowde: A Visual Search Interface. In C. Stephanidis (Ed.), HCI International 2018 –
Posters’ Extended Abstracts (Vol. 850, pp. 191–198). Springer International Publishing. doi.org/10.1007/978-3-319-92270-6_26 (preprint:https://doi.org/10.5281/ZENODO.1212228)

Schleußinger, M., & Henkel, M. (2018e). Knowde—A VisualSearch Interface. https://doi.org/10.5281/ZENODO.1327543 (poster)