Professorship Predictive Analytics
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Professorship Predictive Analytics 

Dr. Ying-Hsang Liu

Portrait: Dr. Ying-Hsang Liu
Dr. Ying-Hsang Liu


Dr. Ying-Hsang Liu is a researcher at the Professorship of Predictive Analytics at Chemnitz University of Technology in Germany. His research includes a wide array of areas within information science, focusing particularly on the intersection of human cognition, information retrieval, and artificial intelligence. Dr. Liu holds a Ph.D. in Information Science from Rutgers University (USA). He has held positions at seven universities across five countries. His research has been supported by grants from the Australian Research Council (ARC), Australian Research Data Commons (ARDC), and Airbus. Dr. Liu has authored numerous peer-reviewed journal articles and conference papers, as well as books. He contributes to the research community through committee roles with ASIS&T and ALISE, and as a member of the iSchool Digital Humanities Curriculum Committee, the DCMI Education Committee and Senior Program Committee member of the ACM Conference on Intelligent User Interfaces (IUI). He has served on the editorial board for journals, including Information Processing & Management, Online Information Review, Education for Information, Journal of Data and Information Management, and Discover Computing. Dr. Liu is a Distinguished Member of ASIS&T.

Research Interests

  • Interactive Information Retrieval (IIR), focusing on user interface design and the impact of knowledge organization systems on search performance and experience.
  • Human-computer interaction (HCI), centered on the design and evaluation of interactive information retrieval systems, including conversational agents.
  • Human-centered data science and AI-based design, applying data science techniques to improve information management and access.
  • Predicative analytics, applying cognitive insights to refine data analysis techniques for the design and evaluation of human-centered AI systems.

CV

  • 2022–2024, Researcher, Uppsala University, Uppsala, Sweden. Worked on EU-funded ERC CAPTURE (CApturing Paradata for documenTing data creation and Use for the REsearch of the future) project.
  • 2023–2024, Visiting Scholar, Chemnitz University of Technology, Chemnitz, Germany. Work with Professorship of Predicative Analytics on cognitive modelling.
  • 2021–2022, Senior Researcher, Oslo Metropolitan University, Oslo, Norway. Worked on EU-funded PICCH (Polyvocal Interpretations of Contested Colonial Heritage) project.
  • 2020–2021, Associate Professor, University of Southern Denmark, Kolding, Denmark. Full-time research and teaching position.
  • 2019–2020, Research Fellow, The Australian National University, Canberra, Australia. Worked on research consultancy project with Airbus at Research School of Computer Science.
  • 2012—2019, 2019–2021, Visiting Fellow & Honorary Lecturer, The Australian National University, Canberra, Australia. Collaborative research project on user search interface design, human-centered data science and AI-based design at Research School of Computer Science.
  • 2009–2019, Lecturer in Information Management, Charles Sturt University, Wagga Wagga, Australia. Full-time research and teaching position.
  • 2008–2009, Teaching Assistant, Rutgers University, New Brunswick, NJ, USA.
  • 2007–2008, Visiting Assistant Professor, Pratt Institute, New York City, USA. Taught face-to-face graduate courses in Online Database Searching and Services, Internet Services and Sources.
  • 2005, Part-Time Lecturer & Teaching Assistant, Rutgers University, New Brunswick, NJ, USA. Taught face-to-face graduate course in Organizing Information.
  • 2004–2007, Graduate Assistant, Rutgers University, New Brunswick, NJ, USA. Worked on A Better Book Browser: How to Read a Million Books research project.
  • 2003–2004, Teaching Assistant, Rutgers University, New Brunswick, NJ, USA.
  • 2001–2002, Knowledge Analyst, Knowledge Express Technology, Hsinchu, Taiwan. Conducted research on segmentation issues in Chinese natural language processing and user interface design.

Selected Publications

  • Ying-Hsang Liu, Alexandre Arnold, Gérard Dupont, Catherine Kobus, Francois Lancelot, Géraud Granger, Yves Rouillard, Alexandre Duchevet, Jean-Paul Imbert, and Nadine Matton. User evaluation of conversational agents for aerospace domain. International Journal of Human–Computer Interaction (2024). doi: 10.1080/10447318.2023.2239544.
  • Ying-Hsang Liu, Andreas Nürnberger, Jenny Rettstatt, and Marco Ragni. Saccadic eye movements and search task difficulty as basis of modelling user knowledge in information seeking. Proceedings of the Annual Meeting of the Cognitive Science Society. Vol. 46. 2024. Link to the article.
  • Ying-Hsang Liu, Paul Thomas, Tom Gedeon, and Nicolay Rusnachenko. Search interfaces for biomedical searching: How do gaze, user perception, search behaviour and search performance relate? In: CHIIR ’22: Proceedings of the 2022 Conference on Human Information Interaction and Retrieval. ACM, 2022, pp. 78–89. doi: 10.1145/3498366.3505769.
  • Moritz Spiller, Ying-Hsang Liu, Md Zakir Hossain, Tom Gedeon, Julia Geissler, and Andreas Nürnberger. Predicting visual search task success from eye gaze data as a basis for user-adaptive information visualization systems. ACM Transactions on Interactive Intelligent Systems 11.2 (2021), pp. 1–25. doi: 10.1145/3446638.
  • Koraljka Golub and Ying-Hsang Liu, eds. Information and knowledge organization in digital humanities: Global perspectives. Routledge, 2021. doi: 10.4324/9781003131816.
  • Chang Liu, Ying-Hsang Liu, Jingjing Liu, and Ralf Bierig. Search interface design and evaluation. Foundations and Trends in Information Retrieval 15.3-4 (2021), pp. 243–416. doi: 10.1561/1500000073.
  • Joni Salminen,Ying-Hsang Liu, Sercan Sengün, João M. Santos, Soon-gyo Jung, and Bernard J. Jansen. The effect of numerical and textual information on visual engagement and perceptions of AI-driven persona interfaces. Proceedings of the 25th International Conference on Intelligent User Interfaces. IUI ’20. Cagliari, Italy: Association for Computing Machinery, 2020, pp. 357– 368. doi: 10.1145/3377325.3377492.
  • Chang Liu, Ying-Hsang Liu, Tom Gedeon, Yu Zhao, Yiming Wei, and Fan Yang. The effects of perceived chronic pressure and time constraint on information search behaviors and experience. Information Processing & Management 56.5 (2019), pp. 1667–1679. doi: 10.1016/j.ipm. 2019.04.004.
  • Ying-Hsang Liu and Nina Wacholder. Evaluating the impact of MeSH (Medical Subject Headings) terms on different types of searchers. Information Processing & Management 53.4 (2017), pp. 851–870. doi: 10.1016/j.ipm.2017.03.004.
  • Peter Wittek, Ying-Hsang Liu, Sándor Darányi, Tom Gedeon, and Ik Soo Lim. Risk and ambiguity in information seeking: Eye gaze patterns reveal contextual behavior in dealing with uncertainty. Frontiers in Psychology 7 (2016), 1790. doi: 10.3389/fpsyg.2016.01790.

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