Home

Jacek photo

Co-director: Information eXperience Lab

Associate Professor iSchool

University of Texas at Austin

 

 

G-Scholar citations: 3999 h-index: 33  i10-index: 71

 

 

LINKS TO MY PROFILES

Official” page at UT

Google Scholar | Semantic Scholar

LOOP (Frontiers) | Orcid ID

DBLP  | Microsoft Academic

ResearchGate | Researcher ID

Academia.edu | Linkedin.com

ACM-DL

 

 

AFFILIATIONS

ACM Senior Member (SIGCHI)

ASIS&T (SIG-USE)

Sigma XI

Distinguished Fellow of the Kosciuszko Foundation Collegium of Eminent Scientists

TRAVEL / EVENTS

Oct 30- Nov 2, 2021.

ASIS&T’2021

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 Jacek Gwizdka?  How to pronounce my names? Jacek: [ˈyat͡sɛk] WAV MP3 Gwizdka: WAV MP3

 

I am an applied natural scientist, with a PhD and two masters’ degrees in engineering (industrial and electrical) and a postdoc in cognitive psychology. I study human information interaction 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. 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. My recent projects investigate information relevance and quantifying the search process. 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 critical 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 | NeuroIR Cognitive Load in Information Seeking

 

ACADEMIC APPOINTMENTS

2019 – current: Associate Professor, School of Information (iSchool), University of Texas at Austin

2015 – 2019: Assistant Professor, School of Information (iSchool), University of Texas at Austin

2013 – 2014: Lecturer, School of Information (iSchool), University of Texas at Austin

2005 – 2012: Assistant Professor, School of Comm. & Info (iSchool), Rutgers University, New Brunswick, NJ

2004 – 2005: Adjunct Professor at the Faculty of Information Studies (iSchool), University of Toronto, Canada

1997 – 2001: Summer research student intern at Xerox PARC, FXPAL, HP Labs, Palo Alto, CA

 

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, Electrical Eng.

 

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 create electronic sounds, 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”

 

More video talks

 

NEWS

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 upcoming 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 upcoming 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 upcoming 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

 

 
https://jacekg.ischool.utexas.edu/
jacekg.ischool.utexas.edu
crawl=CC-MAIN-2021-43
83337
application/http; msgtype=response
sha1:UMP3AUB2CKE3YDCBUZV2J4D66UWKMAD4
<urn:uuid:daaa30b8-912d-4d3b-acd2-a342764be3dc>
2021-10-21T08:48:14Z
146.6.168.108
text/html
sha1:3KDXHU4QHKLUTMPGQZTSKQF7FFQRKVEA
<urn:uuid:866ab207-eb3e-4a40-b68d-32f65d85e824>
https://jacekg.ischool.utexas.edu/
response
<urn:uuid:4cc9e052-d051-4262-b12c-b04623037827>
isPartOf: CC-MAIN-2021-43
publisher: Common Crawl
description: Wide crawl of the web for October 2021
operator: Common Crawl Admin (info@commoncrawl.org)
hostname: ip-10-67-67-180
software: Apache Nutch 1.18 (modified, https://github.com/commoncrawl/nutch/)
robots: checked via crawler-commons 1.2-SNAPSHOT (https://github.com/crawler-commons/crawler-commons)
format: WARC File Format 1.1
conformsTo: https://iipc.github.io/warc-specifications/specifications/warc-format/warc-1.1/