Jacek Gwizdka
Associate Professor
Biography
Dr. Jacek Gwizdka conducts research in human-computer interaction with interests in information search processes and search interfaces, in application of cognitive psychology to interactive information retrieval, and in implicit assessment of cognitive load using psycho-physiological methods. His recent projects include application of cognitive neuroscience tools to the study of cognitive function engaged in human-information interaction as well as examination of effects of search results presentation and cognitive abilities on information search task performance. He serves in various roles at international conference and workshop organization committees (for example, IIiX, ASIS&T, ACM SIGCHI and SIGIR). He serves on editorial board of Interacting with Computers.Degrees
PostDoc 2005 University of Toronto, Psychology / HCIPh.D. 2004 University of Toronto, Industrial Eng. / HCI
M.A.Sc. 1998 University of Toronto, Industrial Eng. / IS
n.d. 1988 Lodz University of Technology, Computer Science
M.Eng. 1985 Lodz University of Technology, Electrical Eng.
Areas Of Specialization
Neuro-information Science
Eye Tracking
Information Seeking Support Systems
Cognitive Psychology of Information Interaction
Human-Computer Interaction
Recent Publications
Gwizdka, J., Hansen, P., Hauff, C., He, J., & Kando, N. (Eds.). (2016). Proceedings of the Second International Workshop on Search as Learning co-located with the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2016) (Vol. 1647). Aachen, Germany: CEUR. Retrieved from http://ceur-ws.org/Vol-1647
Gwizdka, J., Moshfeghi, Y., & Wilson, M. L. (2019). Introduction to the special issue on neuro-information science. Journal of the Association for Information Science and Technology, 70(9), 911?916. https://doi.org/10.1002/asi.24263
Sun, Y., Zhang, Y., Gwizdka, J., & Trace, C. B. (2019). Consumer Evaluation of the Quality of Online Health Information: Systematic Literature Review of Relevant Criteria and Indicators. Journal of Medical Internet Research, 21(5), e12522. https://doi.org/10.2196/12522
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, 71(6), 739?754. https://doi.org/10.1108/AJIM-02-2019-0050
Yalin Sun, Yan Zhang, Jacek Gwizdka, and Ciaran B. Trace, "Consumer Evaluation of the Quality of Online Health Information: Systematic Literature Review of Relevant Criteria and Indicators," JMIR: Journal of Medical Internet Research 21 (5) (2019). DOI: 10.2196/12522
View more in Google ScholarRecent Awards
- Best Paper in Interactive Information & Design track, Internet Research Journal with doctoral students J. Liu and M.Cole; and collaborator N. Belkin at the ASIS&T 2012 conference
- Dr. H. Zemlicka Award for the most visionary paper, NeuroIS
- Distinguished Fellow, Kosciuszko Foundation Collegium of Eminent Scientists
- Best Short Paper at the 11th ACM Symposium on Eye Tracking Research & Applications (ETRA)