Research

2025-current: TaCOS: Dissertation research of Li Shi
2025-current: Eye-tracking and Adapting to Human Attention in LLMs, Dr. Jacek Gwizdka, Post Doc: Dr. Gavindya Jayawardena, PhD student: Dan Zhang.
2024-current: Real-time eye-tracking data processing, Various projects led by Post Doc: Dr. Gavindya Jayawardena under supervision of Dr. Gwizdka
2024-current: DoRA – Depth of Relevance Assessment: Dr. Jacek Gwizdka (PI), PhD student: Li Shi, Post Doc: Dr. Gavindya Jayawardena
2023-current: genAI4IS: Dr. Jacek Gwizdka (UT Austin PI), PhD student TBA, Master’s students, Undergraduate students…

2020-2022: “APX Project” – Health Information Search Behavior as a Manifestation of Cognitive Impairment: An Eye-Tracking Study: Dr. Jacek Gwizdka (UT Austin Co-PI), with Maya Henry and Kavita Radhakrishnan (Co-PIs), IX Lab GRA PhD student Yao-Cheng Chan
2019-2023: “Good Systems Project” – Designing Human-AI Partnerships for Information Search and Evaluation: Dr. Jacek Gwizdka (UT Austin Co-PI), Matt Lease (UT Austin PI), IX Lab GRAs PhD students Nilavra Bhattacharya and Li Shi
2017-current: Eye-Tracking for Adaptive User Interfaces: Dr. Jacek Gwizdka (UT Austin PI), GRA PhD student TBA. Read more…
2016-2022: Learning about Search as Learning: (LaSaL) | Dr. Jacek Gwizdka, GRA PhD student Nilavra Bhattacharya, past Masters student Xueshu Chen.

2015-2020: Consumer Health Information Evaluation: Understanding Consumers: Quality Evaluation of Online Health Information Using a Mixed-Method Approach | Dr. Yan Zhang & Dr. Jacek Gwizdka (UT Austin Co-PIs) with Dr. Carla Teixeira Lopes (U Porto Co-PI). GRAs: PhD students Yung-Sheng Chang & Yalin Sun, past: Masters student Zequn Ye.
2016-2019: Mind wandering in Information Seeking(DeMIS): Dr. Jacek Gwizdka (UT Austin PI), GRA Masters student Xueshu Chen.
2015-2018: Multi-criteria relevance judgment on web search (REMINDS): Dr. Jacek Gwizdka (UT Austin PI), GRA PhD student Yung-Sheng Chang.
2014-2018: Child-friendly search engine results pages (SERPs): Towards better understanding of Google search results readability by children. Prof. Dania Bilal (UTK, PI) & Dr. Jacek Gwizdka (UT Austin Co-PI). Funded by Google Research Award. Read more…
CLIS – Continuous Assessment of Cognitive Load in Information Seeking This project investigates cognitive load experienced by web information searchers. Cognitive load is affected not only by a person’s abilities and a task they perform, but also by a task stage and user interface. Eye movement and EEG data are collected from users engaged in information seeking in order to gain a new understanding of cognitive demands imposed by information search and to develop a measurement framework for non-intrusive assessment of cognitive load. Funded by IMLS Career award to Dr. Gwizdka: RE-04-11-0062-11.

Multi-tasking – Or should we say “task switching?” Recent doctoral grad Ji Hyun Park has expanded our work on humans’ ability to multi-task (see Park, J. H., & Bias, R. G. [2012]). Understanding human multitasking behaviors through a lens of Goal-Systems Theory. Paper presented at the annual meeting of the Association for Library and Information Science Education, Dallas, January), and defended her dissertation, Flow in Multitasking: The Effects of Motivation, Artifact, and Task Factors, in July, 2014.

Which Usability Engineering Method When? Project PI: Dr. Randolph Bias. We are frustrated that there is so little empiricism driving the choice of which usability engineering method might yield the best bang for the dollar and hour invested.

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