human-centered, adaptive, and personalized information interaction
Cal Poly Pomona · Computer Science
The human-centered, adaptive, and personalized information interaction lab at Cal Poly Pomona aims to make users happier, by researching novel computing solutions that understand and support each individual person. Our expertise ranges across several areas, including:
Multilingual learners can face barriers in STEM when academic language, rather than conceptual understanding, limits access to learning. This research explores human-centered multilingual technologies that combine adaptive interfaces, multimodal support, and AI-driven personalization to help students learn across languages while supporting teachers, tutors, and families.
In collaboration with the Student Success Strategic Initiatives team at the CSU Office of the Chancellor, the hapii lab works on dashboards that help faculty, staff, and administrators understand student progress, identify trends, and surface equity gaps. This research explores AI-driven visualization and interaction techniques that make dashboards more adaptive and explainable, helping users discover patterns and turn data into student-support decisions.
This research explores how eye tracking can capture real-time language processing during online assessments, and how machine learning can combine gaze behavior with test performance to better understand language proficiency and academic readiness. The goal is to develop scalable, human-centered assessment methods that augment traditional scores with cognitive evidence while prioritizing validity, privacy, fairness, and interpretability.
Meet the faculty, students, and alumni who shape hapii through their research, collaboration, and contributions to the lab.
Dr. Ben Steichen is an Associate Professor in the Computer Science Department at California State Polytechnic University, Pomona (CPP). He received his PhD from Trinity College Dublin (TCD), Ireland, an M.Sc. degree in Computer Science from TCD, and a First Class Honours B.Sc. degree in Computing Sciences from the University of East Anglia (UEA), UK.
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The lab is equipped with state-of-the-art tools for user experience research and data analysis, including eye-tracking systems and high-performance computing resources. These capabilities allow us to conduct in-depth studies of natural user behavior and experience.
If you want to learn more about the lab, or if you are interested in working with us, please reach out!