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Publications

My publications can also be found at: GoogleScholar | Academia.edu | ResearchGate | Orchid ID | Researcher ID

G-Scholar citations: 4515 h-index: 36 (h-index since 2017: 25) i10-index: 82

 

Note: list of publications is generated automatically with Zotpress. Thanks to Katie Seaborn for the useful plug-in!

Categorization of publications may be slightly incorrect. Journal Article contain both refereed (most) and non-refereed articles.  Conference Paper section includes long, short, and workshop papers. 

Clicking on “(CITE” will upload citation to your bibliography management tool or allow you to save a .RIS file. 

 

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. https://doi.org/10.1038/s44184-022-00005-8 Cite
Shi, L., Bhattacharya, N., Das, A., Lease, M., & Gwizdka, J. (2022). The Effects of Interactive AI Design on User Behavior: An Eye-tracking Study of Fact-checking COVID-19 Claims. ACM SIGIR Conference on Human Information Interaction and Retrieval, 315–320. https://doi.org/10.1145/3498366.3505786 Cite
Chang, Y.-S., & Gwizdka, J. (2022). Perceived eHealth Literacy vis-a-vis Information Search Outcome: A Quasi-Experimental Study. ACM SIGIR Conference on Human Information Interaction and Retrieval, 305–309. https://doi.org/10.1145/3498366.3505825 Cite
Bautista, J. R., Zhang, Y., & Gwizdka, J. (2022). Predicting healthcare professionals’ intention to correct health misinformation on social media. Telematics & Informatics. Cite
Bautista, J. R., Zhang, Y., & Gwizdka, J. (2022). Professional Identity and Perceived Crisis Severity as Antecedents of Healthcare Professionals’ Responses to Health Misinformation on Social Media. In M. Smits (Ed.), iConference 2022 (pp. 273–291). Springer International Publishing. https://doi.org/10.1007/978-3-030-96960-8_19 Cite
Gwizdka, J., Tessmer, R., Chan, Y.-C., Radhakrishnan, K., & Henry, M. (2022). Eye-gaze and mouse-movements on web search as indicators of cognitive impairment. In F. D. Davis, R. Riedl, J. vom Brocke, P.-M. Léger, A. B. Randolph, & G. Müller-Putz (Eds.), Information Systems and Neuroscience. Springer International Publishing. Cite
Rubin, M., Bhattacharya, N., Gwizdka, J., Griffin, Z., & Telch, M. (2021). The influence of PTSD symptoms on selective visual attention while reading. Cognition and Emotion, 36(3), 527–534. https://doi.org/10.1080/02699931.2021.2016639 Cite
Bautista, J. R., Zhang, Y., & Gwizdka, J. (2021). US Physicians’ and Nurses’ Motivations, Barriers, and Recommendations for Correcting Health Misinformation on Social Media: Qualitative Interview Study. JMIR Public Health and Surveillance, 7(9), e27715. https://doi.org/10.2196/27715 Cite
Bhattacharya, N., & Gwizdka, J. (2021). YASBIL: Yet Another Search Behaviour (and) Interaction Logger. Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2585–2589. https://doi.org/10.1145/3404835.3462800 Cite
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 Cite
Bautista, J. R., Zhang, Y., & Gwizdka, J. (2021). Healthcare professionals’ acts of correcting health misinformation on social media. International Journal of Medical Informatics, 148, 104375. https://doi.org/10.1016/j.ijmedinf.2021.104375 Cite
Chang, Y.-S., Zhang, Y., & Gwizdka, J. (2021). The effects of information source and eHealth literacy on consumer health information credibility evaluation behavior. Computers in Human Behavior, 115, 106629. https://doi.org/10.1016/j.chb.2020.106629 Cite
Chang, Y.-S., Zhang, Y., & Gwizdka, J. (2021). Predicting Surrogates’ Health Information Seeking Behavior via Information Source and Information Evaluation. Proceedings of the Association for Information Science and Technology, 58, 36–47. https://doi.org/10.1002/pra2.434 Cite
Gwizdka, J. (2021). “Overloading” Cognitive (Work)Load: What Are We Really Measuring? In F. D. Davis, R. Riedl, J. vom Brocke, P.-M. Léger, A. B. Randolph, & G. Müller-Putz (Eds.), Information Systems and Neuroscience (pp. 77–89). Springer International Publishing. https://doi.org/10.1007/978-3-030-88900-5_9 Cite
Bhattacharya, N., & Gwizdka, J. (2021). A Triangulation Perspective for Search as Learning. Proceedings of the Second International Workshop on Investigating Learning During (Web) Search (IWILDS) Co-Located with 30th ACM International Conference on Information and Knowledge Management (CIKM 2021). IWILDS’2021. Cite
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. http://ceur-ws.org/Vol-2699/paper22.pdf Cite
Bhattacharya, N., Rakshit, S., & Gwizdka, J. (2020). Towards Real-time Webpage Relevance Prediction Using Convex Hull Based Eye-tracking Features. ACM Symposium on Eye Tracking Research and Applications, 1–10. https://doi.org/10.1145/3379157.3391302 Cite
Jia, C., & Gwizdka, J. (2020). An Eye-Tracking Study of Differences in Reading Between Automated and Human-Written News. Information Systems and Neuroscience, 100–110. https://doi.org/10.1007/978-3-030-60073-0_12 Cite
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 Cite
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. https://doi.org/10.1002/pra2.234 Cite
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. https://doi.org/10.1007/978-3-030-38825-6_9 Cite
Gwizdka, J., & Chang, Y.-S. (2020). Search Results Viewing Behavior vis-à-vis Relevance Criteria. In F. D. Davis, R. Riedl, J. vom Brocke, P.-M. Léger, A. Randolph, & T. Fischer (Eds.), Information Systems and Neuroscience (pp. 181–188). Springer International Publishing. https://doi.org/10.1007/978-3-030-28144-1_20 Cite
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 Cite
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 Cite
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 Cite
Gwizdka, J. (2019). Exploring Eye-Tracking Data for Detection of Mind-Wandering on Web Tasks. In F. D. Davis, R. Riedl, J. vom Brocke, P.-M. Léger, & A. B. Randolph (Eds.), Information Systems and Neuroscience (pp. 47–55). Springer International Publishing. https://doi.org/10.1007/978-3-030-01087-4_6 Cite
Bhattacharya, N., & Gwizdka, J. (2019). Measuring Learning During Search: Differences in Interactions, Eye-Gaze, and Semantic Similarity to Expert Knowledge. Proceedings of the 2019 Conference on Human Information Interaction and Retrieval, 63–71. https://doi.org/10.1145/3295750.3298926 Cite
Ebeid, I. A., Bhattacharya, N., Gwizdka, J., & Sarkar, A. (2019). Analyzing Gaze Transition Behavior Using Bayesian Mixed Effects Markov Models. Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications, 5:1-5:5. https://doi.org/10.1145/3314111.3319839 Cite
Bilal, D., & Gwizdka, J. (2018). Children’s query types and reformulations in Google search. Information Processing & Management, 54(6), 1022–1041. https://doi.org/10.1016/j.ipm.2018.06.008 Cite
Gwizdka, J. (2018). Inferring Web Page Relevance Using Pupillometry and Single Channel EEG. In F. D. Davis, R. Riedl, J. vom Brocke, P.-M. Léger, & A. B. Randolph (Eds.), Information Systems and Neuroscience (pp. 175–183). Springer International Publishing. https://doi.org/10.1007/978-3-319-67431-5_20 Cite
Bhattacharya, N., & Gwizdka, J. (2018). Relating Eye-tracking Measures with Changes in Knowledge on Search Tasks. Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications, 62:1-62:5. https://doi.org/10.1145/3204493.3204579 Cite
Chang, Y.-S., & Gwizdka, J. (2018). Relevance criteria dynamics: A study of online news selection on SERPs. Proceedings of the Association for Information Science and Technology, 55(1), 768–769. https://doi.org/10.1002/pra2.2018.14505501108 Cite
Gwizdka, J. (2018). Neuro-physiological data as a source of evaluation metrics for personalized IR. Proceedings of the Workshop on Evaluation of Personalisation in Information Retrieval - WEPIR’2018 Held at ACM SIGIR CHIIR’2018. Workshop on Evaluation of Personalisation in Information Retrieval - WEPIR’2018, New Brunswick, NJ, USA. Cite
Ebeid, I. A., & Gwizdka, J. (2018). Real-time Gaze Transition Entropy. Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications, 94:1-94:3. https://doi.org/10.1145/3204493.3208340 Cite
Gwizdka, J., Hosseini, R., Cole, M., & Wang, S. (2017). Temporal dynamics of eye-tracking and EEG during reading and relevance decisions. Journal of the Association for Information Science and Technology, 68(10), 2299–2312. https://doi.org/10.1002/asi.23904 Cite
Eickhoff, C., Gwizdka, J., Hauff, C., & He, J. (2017). Introduction to the special issue on search as learning. Information Retrieval Journal, 20(5), 399–402. https://doi.org/10.1007/s10791-017-9315-9 Cite
Smith, C. L., Gwizdka, J., & Feild, H. (2017). The use of query auto-completion over the course of search sessions with multifaceted information needs. Information Processing & Management, 53(5), 1139–1155. https://doi.org/10.1016/j.ipm.2017.05.001 Cite
Ye, Z., Gwizdka, J., Lopes, C. T., & Zhang, Y. (2017). Towards understanding consumers’ quality evaluation of online health information: A case study. Proceedings of the Association for Information Science and Technology, 54, 838–839. https://doi.org/10.1002/pra2.2017.14505401178 Cite
Singh, V. K., Shah, C., Gwizdka, J., Joho, H., & Gurrin, C. (2017). From sensors to sense-making: Opportunities and challenges for information science. Proceedings of the Association for Information Science and Technology, 54, 599–602. https://doi.org/10.1002/pra2.2017.14505401083 Cite
Gwizdka, J. (2017). I Can and So I Search More: Effects Of Memory Span On Search Behavior. Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval, 341–344. https://doi.org/10.1145/3020165.3022148 Cite
Gwizdka, J., & Bilal, D. (2017). Analysis of Children’s Queries and Click Behavior on Ranked Results and Their Thought Processes in Google Search. Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval, 377–380. https://doi.org/10.1145/3020165.3022157 Cite
Gwizdka, J., & Mostafa, J. (2017). NeuroIIR 2017: Challenges in Bringing Neuroscience to Research in Human-Information Interaction. Proceedings of the 2017 ACM on Conference on Human Information Interaction and Retrieval. https://doi.org/10.1145/3020165.3022165 Cite
Gwizdka, J. (2017). Differences in Reading Between Word Search and Information Relevance Decisions: Evidence from Eye-Tracking. In D. F. Davis, R. Riedl, J. vom Brocke, P.-M. Léger, & B. A. Randolph (Eds.), Information Systems and Neuroscience: Gmunden Retreat on NeuroIS 2016 (pp. 141–147). Springer International Publishing. https://doi.org/10.1007/978-3-319-41402-7_18 Cite
Wang, S., Gwizdka, J., & Chaovalitwongse, W. A. (2016). Using Wireless EEG Signals to Assess Memory Workload in the n-Back Task. IEEE Transactions on Human-Machine Systems, 46(3), 424–435. https://doi.org/10.1109/THMS.2015.2476818 Cite
Beheshti, J., Bilal, D., Mackey, T. P., Limberg, L., Bartlett, J. C., Gwizdka, J., Jacobson, T., & Ishimura, Y. (2016). Information literacy: Bridging the gap between theory and practice. Proceedings of the Association for Information Science and Technology, 53, 1–6. https://doi.org/10.1002/pra2.2016.14505301019 Cite
Gwizdka, J., & Mostafa, J. (2016). NeuroIR 2015: SIGIR 2015 Workshop on Neuro-Physiological Methods in IR Research. SIGIR Forum, 49, 83–88. https://doi.org/10.1145/2888422.2888435 Cite
Gwizdka, J., & Chen, X. (2016). Towards Observable Indicators of Learning on Search. 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). http://ceur-ws.org/Vol-1647/SAL2016_paper_19.pdf Cite
Zhang, Y., & Gwizdka, J. (2016). Rethinking the Cost of Information Search Behavior. Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval, 969–972. https://doi.org/10.1145/2911451.2914742 Cite
Gwizdka, J., Hansen, P., Hauff, C., He, J., & Kando, N. (2016). Search As Learning (SAL) Workshop 2016. Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval, 1249–1250. https://doi.org/10.1145/2911451.2917766 Cite
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). CEUR. http://ceur-ws.org/Vol-1647/ Cite