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New! IX Lab Research podcast 

 

Current Projects

  • 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… 

Past Projects

2016-2020

  • 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.

2013-2019

  • 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.

2012-2014

  • 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.

2012-2013

  • 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.

2011-2012

  • Study to Better Understand Filler Text
  • WebMD Information Gathering User Study
  • User Study on Women’s Voting Website
  • Arabic News Site Usability Study
  • User Study of Transcription with GLIFOS
  • Study of Reading Comprehension on eReaders
  • User Study of a Collaboration on a Touch Screen System
  • Study of Web Form Application on Mobile Devices

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