Information eXperience Lab Director
Associate Professor iSchool
Contact: jacekg AT utexas.edu
G-Scholar citations: 4700 h-index: 37 (h-index since 2018: 24) i10-index: 84
LINKS TO MY PROFILES
Google Scholar | Semantic Scholar
AFFILIATIONS
ACM Senior Member (SIGIR)
ASIS&T Distinguished Member (SIG-USE)
Sigma XI
Distinguished Fellow of the Kosciuszko Foundation Collegium of Eminent Scientists
TRAVEL / EVENTS
May 31-June 1, 2023.
NeuroIS’2023
Wien, Österreich
March 19-23, 2023.
AUSTIN, TEXAS!
October 29-November 1, 2022.
ASIS&T 2022 Conference
Pittsburgh, PA, USA
June 24-July 1, 2022.
Łódź HCI Summer School 2022
Politechnika Łódzka
Łódź, Poland
June 14-16, 2022.
Wien, Österreich
in-person !
March 14-18, 2022.
CHIIR’2022
Online
Nov 1- Nov 5, 2021.
CIKM’2021 & IWILDS
Online
Oct 30- Nov 2, 2021.
ASIS&T’2021
Online / Salt Lake City, UT
July 11-15, 2021.
SIGIR’2021
Online
June 1-3, 2021.
NeuroIS’2021
Online
March 14-19, 2021.
ACM CHIIR’2021
Online
October 25-28, 2020.
ASIS&T’2020
Online
October 19, 2020.
IWILDS’2020
Online
August 13-14, 2020.
March 14-18, 2020
CHIIR’2020
Online Vancouver, Canada
June 2-5, 2020
ETRA/ETWEB’2020
(Stuttgart, Germany)
June 2-5, 2020
NeuroIS’2020
Online (Wien, Austria)
September 11-14, 2019
II Światowe Forum Nauki Polskiej poza Granicami Kraju
(The second World-wide forum of Polish Science Abroad)
Warszawa/Pułtusk, Poland
July 23-25, 2019
SIGIR’2019
Paris, France
June 4-6, 2019
NeuroIS’2019
Wien, Österreich
March 10-14, 2019
CHIIR’2019
Glasgow, Scotland, UK
November 11-14, 2018
ASIST’2018
Vancouver, Canada
June 19 – 21, 2018
NeuroIS’2018
Vienna , Austria
June 14 – 17, 2018
ETRA’2018
Warszawa, Poland
ABOUT ME
How to pronounce my names? Jacek: [ˈyat͡sɛk] WAV MP3 Gwizdka: WAV MP3
I am an engineer turned cognitive scientist, with a PhD and two masters’ degrees in engineering (industrial, electrical and computer engineering) and a postdoc in cognitive psychology. I study human information interaction, search and retrieval (a.k.a. interactive information retrieval, information search and retrieval) and apply methods from experimental cognitive psychology and neuro-physiology to understand information searchers and improve search experience. My focus is on understanding one individual at a time (in the lab) and then on generalizing. I am particularly interested in inferring and quantifying cognitive and affective phenomena in human information interaction from neuro-physiological signals and subsequently in creating models that relate and predict these phenomena. I employ eye-tracking, pupillometry, neuro-physiological signals in assessment of search as learning, reading, mind-wandering and in inferring information relevance. I have a keen interest in neuroscience, philosophy, and philosophy of science. Full_CV | Short Bio PDF
I believe in science and scientific evidence as a basis for rational human decision making at all levels of society. I am post-positivist and a scientific realist and believe that there is a reality independent of us and an objective truth. Even if uncovering the truth may be unattainable, we can (and should) triangulate across multiple error-prone data sources to get closer to the objective reality. I engage mainly in quantitative research, but also mix it with qualitative. My readings in philosophy of science on my list of readings can shed further light on my approach to science and research.
Related: Neuro-Information Science | Cognitive Load in Information Seeking
INTERESTED in my IX lab?
The preferred research assistant skills include one or more of: cognitive / experimental / mathematical psychology, engineering psychology / human factors, data science, bayesian statistics, applied machine learning, experience with eye-tracking data, applied physics, biomedical computing, computational modeling, computational neuroscience. Before contacting me: Have you read my publications? Still interested? Please email me.
ACADEMIC APPOINTMENTS
2019 – current: Associate Professor, School of Information (iSchool), University of Texas at Austin, USA
2015 – 2019: Assistant Professor, School of Information (iSchool), University of Texas at Austin, USA
2013 – 2014: Lecturer, School of Information (iSchool), University of Texas at Austin, USA
2005 – 2012: Assistant Professor, School of Comm. & Info (iSchool), Rutgers University, New Brunswick, NJ, USA
2004 – 2005: Adjunct Professor at the Faculty of Information Studies (iSchool), University of Toronto, ON, Canada
1997 – 2001: Summer research student intern at Xerox PARC, FXPAL, HP Labs, Palo Alto, CA, USA
EDUCATION
PostDoc 2005 University of Toronto, Psychology / HCI
Ph.D. 2004 University of Toronto, Industrial Eng. / HCI dissertation PDF
M.A.Sc. 1998 University of Toronto, Industrial Eng. / IS thesis PDF
n.d. 1988 Politechnika Łódzka, Computer Science
M.Eng. 1985 Politechnika Łódzka, Computer & Electrical Eng. (Control Engineering)
ART & HOBBY
I am an avid photographer with artistic ambitions. My recent galleries: Cogitationes Aqua | Ramis Neuronis | Jazz musicians-1 | part-2 . I also like to play synthesizers and create sounds, to ski in high mountains and dance.
Video Introduction
Talk at UT Applied Research Lab (December 2019): “Neuro-physiological evidence as a basis for understanding human-information interaction”
NEWS
2023.02.01: My G-Scholar h-index=37
2022.12.12: New conference paper accepted. Shi, L., Bhattacharya, N., Das, A., & Gwizdka, J. (2023, March 20). True or false? Cognitive load when reading COVID-19 news headlines: An eye-tracking study. ACM SIGIR Conference on Human Information Interaction and Retrieval. https://doi.org/10.1145/3576840.3578290
2022.08.19: My G-Scholar h-index=36
2022.08.05: New journal manuscript published online in Telematics and Informatics. 1st author postdoc Robert Bautista, co-authored with Yan Zhang. “Predicting healthcare professionals’ intention to correct health misinformation on social media”. Free access till Sept 23 here. Permanent DOI LINK
2022.07.15: My G-Scholar h-index=35
2022.07.05: New journal manuscript published online in Nature Mental Health Research. Co-authored with colleagues from Tokyo and Toronto. Seaborn, K., Henderson, K., Gwizdka, J., & Chignell, M. (2022). A meta-review of psychological resilience during COVID-19. Npj Mental Health Research, 1(1), 1–9. Open Access: https://doi.org/10.1038/s44184-022-00005-8 https://rdcu.be/cQ08t go.nature.com/3yq8dUz
2022.04.05: New conference paper (work-in-progress) Gwizdka, J., Tessmer, R., Chan, Y-C., Radhakrishnan, K., Henry, M. (accepted, 2022). “Eye-gaze and mouse-movements on web search as indicators of cognitive impairment”. To appear in NeuroIS’2022.
2022.01.11: My G-Scholar h-index=34
2021.12.07: Best student poster award! Rachel Tessmer, Yao-Cheng Chan, Jacek Gwizdka, Maya L. Henry, Kavita Radhakrishnan. (2021). “Health information search behavior as an index of cognitive impairment: An eye-tracking study”. Aging and Health Informatics Conference (AHIC).
2021.12.07: Two upcoming short conference papers. Two short papers from IX lab were accepted for presentation at CHIIR’2022. (33% acceptance rate)
2021.12.06: New upcoming journal paper. Mikael Rubin, Nilavra Bhattacharya, Jacek Gwizdka, Zenzi Griffin, Michael Telch (accepted, 2021). “The Influence of PTSD Symptoms on Selective Visual Attention While Reading”.
2021.11.09: New upcoming conference paper Bautista, J.R., Zhang, Y., Gwizdka, J. (accepted, 2021). “Professional identity and perceived crisis severity as antecedents of healthcare professionals’ responses to health misinformation on social media”. With Postdoctoral fellow John Robert Bautista and iSchool colleague Dr. Yan Zhang to appear in iConference’2022.
2021.06.18: New journal article in BMJ Open: This is a description of a meta-review protocol. Co-authored with colleagues from Japan and Canada (with a strong Toronto connection among the three of us). Seaborn, K., Chignell, M., & Gwizdka, J. (2021). Psychological resilience during COVID-19: A meta-review protocol. BMJ Open, 11(6), e051417. https://doi.org/10.1136/bmjopen-2021-051417
2021.04.20: New conference paper Bhattacharya, N., Gwizdka, J. (accepted, 2021). “YASBIL: Yet Another Search Behaviour (and) Interaction Logger”. Short paper / demo with my PhD student Nilavra Bhattacharya to appear in SIGIR’2021.
2021.05.20: New conference paper Chang, Y-S., Zhang, Y., Gwizdka, J. (accepted, 2021). “Predicting Surrogates’ Health Information Seeking Behavior via Information Source and Information Evaluation”. With my PhD student Yung-Sheng Chang and a colleague Dr. Yan Zhang to appear in ASIST’2021. ASIS&T SIG-USE Best Paper Award!
2021.04.17: My G-Scholar h-index=33
2021.04.01: New conference paper Gwizdka, J. (accepted, 2021). ““Overloading” Cognitive (Work)Load: What Are We Really Measuring?”. In NeuroIS’2021 conference proceedings.
2021.01.02: New year, and a new journal article! First author is our post doctoral fellow Robert Bautista, co-authored with iSchool collegue Yan Zhang. Bautista, J. R., Zhang, Y., & Gwizdka, J. (2021). Healthcare professionals’ acts of correcting health misinformation on social media. International Journal of Medical Informatics, 104375. DOI_LINK FREE_ACCESS_TILL_Mar_06_2021
2020.11.09: New journal article: First author is my doctoral student Yung-Sheng Chang, co-authored with iSchool collegue Yan Zhang. Chang, Y.-S., Zhang, Y. & Gwizdka, J. (in press). The effects of Information Source and eHealth Literacy on Consumer Health Information Credibility Evaluation Behavior. Published first online in Computers in Human Behavior. LINK_via_UT LINK_to_publisher DOI_LINK
2020.11.02: My G-Scholar h-index=32
2020.10.25 : Conference paper online Chang, Y.-S., Gwizdka, J., & Zhang, Y. (2020). eHealth literacy, information sources, and health webpage reading patterns. Proceedings of the Association for Information Science and Technology, 57, e234. DOI_LINK
2020.10.15: Workshop paper online Bhattacharya, N., & Gwizdka, J. (2020). Visualizing and Quantifying Vocabulary Learning During Search. Proceedings of the First International Workshop on Investigating Learning During (Web) Search (IWILDS) Co-Located with 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), 2699, 4. LINK_PDF
2020.10.12: Conference paper online Jia, C., & Gwizdka, J. (2020). An Eye-Tracking Study of Differences in Reading Between Automated and Human-Written News. In F. D. Davis, R. Riedl, J. vom Brocke, P.-M. Léger, A. B. Randolph, & T. Fischer (Eds.), Information Systems and Neuroscience (pp. 100–110). Springer International Publishing. DOI_LINK
2020.08.24: New workshop paper accepted to IWILDS’2020 Bhattacharya, N., & Gwizdka, J. (2020). Visualizing and Quantifying Vocabulary Learning During Search. To appear in Proceedings of 1st International Workshop on Investigating Learning During Web Search. Workshop site.
2020.06.02: New book chapter paper online. Gwizdka, J., & Dillon, A. (2020). Eye-Tracking as a Method for Enhancing Research on Information Search. In W. T. Fu & H. van Oostendorp (Eds.), Understanding and Improving Information Search: A Cognitive Approach (pp. 161–181). Springer International Publishing. DOI_LINK
2020.06.02: New conference paper accepted to ASIS&T’2020. Chang, Y.-S. , Gwizdka, J., Zhang, Y. (in press 2020). E-Health Literacy, Information Sources, and Health Webpage Reading Patterns. To appear in ASIST’2020 Proceedings.
2020.04.01: New conference paper accepted to NeuroIS’2020 . Jia., C. & Gwizdka J., (in press). An eye-tracking study of differences in reading between automated and human-written news. To appear in proceedings of NeuroIS’2020.
2020.03.31: New conference paper accepted ETRA-ETWEB’2020. Bhattacharya, N., Rakshit, S., & Gwizdka, J. (2020). Towards real-time webpage relevance prediction using convex hull based eye-tracking features. Proceedings of the 2020 Symposium on Eye Tracking Research and Applications (ETRA ’20 Adjunct). https://doi.org/10.1145/3379157.3391302
2020.02.28: New funded project. Consumer Longitudinal Health Information Needs and Search Behavior. Google Faculty Award. Yan Zhang (PI), Jacek Gwizdka (co-PI).
2019.12.10: New conference paper accepted to CHIIR’2020: Bhattacharya, N., Rakshit, S., Gwizdka, J., & Kogut, P. (2020). Relevance Prediction from Eye-movements Using Semi-interpretable Convolutional Neural Networks. Proceedings of the 2020 Conference on Human Information Interaction and Retrieval, 223–233. https://doi.org/10.1145/3343413.3377960
2019.11.26: New funded project. Health Information Search Behavior as a Manifestation of Cognitive Impairment: An Eye-Tracking Study. with UT colleagues Maya Henry (Communication Sciences & Disorders) and Kavita Radhakrishnan (Nursing), Funded by UT Austin VPR Office. LINK
2019.10.09: New journal paper (early online view) with iSchool colleagues Yan Zhang and Andrew Dillon : Gwizdka, J., Zhang, Y., & Dillon, A. (2019). Using the eye-tracking method to study consumer online health information search behaviour. Aslib Journal of Information Management, pp. 16. LINK
2019.07.08: New Guest Editorial for the special issue on Neuro-Information Science in JASIST. Gwizdka, J., Moshfeghi, Y., & Wilson, M. L. (n.d.). Introduction to the special issue on neuro-information science. Journal of the Association for Information Science and Technology, 0(0). LINK to editorial Special Issue TOC