Expertise:
Artificial Intelligence (AI), Human-Centered Computing, Personalization, Multilingualism, Eye Tracking, User Experience, Information Science, Web & Data Science, Adaptive Information Retrieval & VisualizationSteichen leads the hapii lab (human-centered, adaptive, and personalized information interaction), researching novel information access solutions that support each individual person. This research involves concepts and techniques from the fields of Human-Computer Interaction, Artificial Intelligence, Information Retrieval & Visualization, and Web & Data Science.
The team is currently researching and developing novel search, recommendation, and education systems for people who are multilingual, using eye-gaze technology and machine learning to model how multilingual users interact with data so systems can integrate multiple languages and personalize experiences for different users. As part of this effort, the team is developing novel multilingual STEM education tools, including Math mini-games that link language with mathematical concepts to help young learners transition between languages and reduce linguistic barriers in understanding core ideas.
They are also creating novel data visualization solutions, including visualizations for the student success dashboard for the California State University Chancellor’s Office, where students build real client-facing features that turn complex data into clear, usable visual insights while studying how visualization design affects individual users, through eye tracking and interaction analysis.
Selected Publications:
- “Computational Methods to Infer Human Factors for Adaptation and Personalization Using Eye Tracking,” A Human-Centered Perspective of Intelligent Personalized Environments and Systems (B. Ferwerda, M. Graus, P. Germanakos, and M. Tkalcic (eds.), Springer, 2024)
- With W. Kosasih and C. Becerra, “Inferring Search User Language Proficiency from Eye Gaze Data,”7th Association for Computing Machinery Special Interest Group on Information Retrieval Conference on Human Information Interaction and Retrieval (CHIIR 2022) 211-220, 2022
- With R. Lowe, “How do multilingual users search? An investigation of query and result list language choices,”Journal of the Association for Information Science and Technology 72(6):759-776, 2021
- With C. Castillo and K. Scroggins, “Personalized Multilingual Search – Predicting Search Result List Language Preferences,” International Association for Computing Machinery Conference on User Modeling, Adaption, and Personalization (UMAP 2020) 343-347, 2020
- With B. Fu and T. Nguyen, “Inferring Cognitive Style from Eye Gaze Behavior During Information Visualization Usage,”International Association for Computing Machinery Conference on User Modeling, Adaptation, and Personalization (UMAP 2020) 348-352, 2020
- With C. Ling, B. Steichen and S. Figueira, “Multilingual News – An Investigation of Consumption, Querying, and Search Result Selection Behaviors,” International Journal of Human-Computer Interaction 36(6):516-535, 2019
Education:
B.Sc., Computing Sciences, University of East Anglia
M.Sc., Ph.D., Computer Science, Trinity College Dublin
Languages:
English (Native)
Luxembourgish (Native)
German (Full professional proficiency)
French (Full professional proficiency)
Mandarin (Elementary proficiency)

