In Press

  • TBA
  • Bhattacharya, N., Rakshit, S.  &  Gwizdka, J. (in press,  2020). Relevance Prediction from Eye-movements Using Semi-interpretable Convolutional Neural Networks. To appear in Proceedings of the 2020 Conference on Conference Human Information Interaction and Retrieval CHIIR’2020. (pp. 10). Vancouver, BC, Canada.

2020

  • 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). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-28144-1_20

2019

  • 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. LINK
    Best Short Paper Award
  • Gwizdka, J. (2019). Exploring Eye-Tracking Data for Detection of Mind-wandering on Web Tasks. In D. F. Davis, R. Riedl, J. vom Brocke, P.-M. Léger, & B. A. Randolph (Eds.), Information Systems and Neuroscience Retreat on NeuroIS’2018. vol 29. (pp. 47-55). Springer International Publishing. doi: 10.1007/978-3-030-01087-4_6 
  • 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 Conference Human Information Interaction and Retrieval CHIIR’2019. (pp. 9).  LINK
  • 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

2018

  • Bhattacharya, N., & Gwizdka, J. (2018). Relating Eye-tracking Measures with Changes in Knowledge on Search Tasks. In Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications ETRA’2018 (pp. 62:1–62:5). New York, NY, USA: ACM. doi:10.1145/3204493.3204579.
  • Bilal, D., & Gwizdka, J. (2018). Children’s query types and reformulations in Google search. Information Processing & Management, 54(6), 1022–1041. doi:10.1016/j.ipm.2018.06.008   (2017 JCR impact factor: 3.444)
  • Gwizdka, J. (2018). Inferring Web Page Relevance Using Pupillometry and Single Channel EEG. In D. F. Davis, R. Riedl, J. vom Brocke, P.-M. Léger, & B. A. Randolph (Eds.), Information Systems and Neuroscience: Gmunden Retreat on NeuroIS’2017 (pp. 175–183). Springer International Publishing. doi:10.1007/978-3-319-67431-5_2 
  • Chang, Y-S., Gwizdka, J. (2018). Relevance Criteria Dynamics: A Study of Online News Selection on SERPs. To appear in Proceedings of the 81th Association for Information Science & Technology Annual Meeting- ASIS&T’2018.
  • Ebeid, I. A., & Gwizdka, J. (2018). Real-time Gaze Transition Entropy. In Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications (pp. 94:1–94:3). New York, NY, USA: ACM. doi:10.1145/3204493.3208340.
  • 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, (pp. 3). New Brunswick, NJ, March 15, 2018. 

2017

  • 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
  • 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). Gmunden, Austria: Springer International Publishing. https://doi.org/10.1007/978-3-319-41402-7_18
  • Gwizdka, J. (2017). I Can and So I Search More: Effects Of Memory Span On Search Behavior. In Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval (pp. 341–344). New York, NY, USA: ACM. https://doi.org/10.1145/3020165.3022148
  • Gwizdka, J., & Bilal, D. (2017). Analysis of Children’s Queries and Click Behavior on Ranked Results and Their Thought Processes in Google Search. In Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval (pp. 377–380). New York, NY, USA: ACM. https://doi.org/10.1145/3020165.3022157
  • Ye, Z., Gwizdka, J., Zhang, Y., Sun, Y., & Lopes, C.T. (2017). Towards understanding consumers’ quality evaluation of online health information: A case study. Proceedings of the 80th Association for Information Science & Technology Annual Meeting- ASIS&T’2017, Crystal City, VA, Oct. 27-Nov 1.
  • Chizari, S., & Gwizdka, J. (2017). User’s Log Data vs. Gaze Data: A Case Study of Native and Non-Native English Speakers. Paper presented at NeuroIIR’2017 workshop. Oslo, Norway.  

2016

  • Bilal, D., & Gwizdka, J. (2016). Children’s Eye-fixations on Google Search Results. In Proceedings of the 79th ASIS&T Annual Meeting (Vol. 79, p. 89:1–89:6). Silver Springs, MD, USA: American Society for Information Science. https://doi.org/10.1002/pra2.2016.14505301089
  • Gwizdka, J., & Chen, X. (2016). Towards Observable Indicators of Learning on Search. In 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). Pisa, Italy: CEUR. Retrieved from http://ceur-ws.org/Vol-1647/SAL2016_paper_19.pdf
  • Mostafa, J., & Gwizdka, J. (2016). Deepening the Role of the User: Neuro-Physiological Evidence As a Basis for Studying and Improving Search. In Proceedings of the 2016 ACM on Conference on Human Information Interaction and Retrieval (pp. 63–70). New York, NY, USA: ACM. https://doi.org/10.1145/2854946.2854979
  • 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. DOI LINK
  • Zhang, Y., & Gwizdka, J. (2016). Rethinking the Cost of Information Search Behavior. In Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 969–972). New York, NY, USA: ACM. DOI LINK

2015

  • Bias, R. G., Nixon, M., He, D., & Kim, H. (2015) Employing a user-centered design approach to improve operator interfaces. To appear in the IIE Transactions on Occupational Ergonomics and Human Factors, Special Issue on Human Factors in Advanced Applications for Process Control.
  • Huang, S.-C., Bias, R.G., & Schnyer, D. (2015) How are icons processed by the brain? Neuroimaging measures of four types of visual stimuli used in information systems. Journal of the Association of Information Science and Technology. Article first published online: 15 May 2014. DOI: 10.1002/asi.23210.
  • Gwizdka, J., & Zhang, Y. (2015). Differences in Eye-Tracking Measures Between Visits and Revisits to Relevant and Irrelevant Web Pages. In Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 811–814). New York, NY, USA: ACM. DOI LINK
  • Gwizdka, J., Zhang, Y. (2015). Towards Inferring Web Page Relevance – An Eye-Tracking Study. Poster to be presented at iConference’2015, Newport Beach, CA.

2014

  • Gwizdka, J. (2014). Characterizing Relevance with Eye-tracking Measures. In Proceedings of the 5th Information Interaction in Context Symposium IIiX 2014. (pp. 58–67). New York, NY, USA: ACM. doi:10.1145/2637002.2637011
  • Wei, X., Zhang, Y. Gwizdka, J. (2014). YASFIIRE: Yet Another System for IIR Evaluation. In Proceedings of IIiX’2014. (pp. 316–319). New York, NY, USA: ACM. doi:10.1145/2637002.2637051
  • Bias, R. G., Gillan, D. J., & Lewis, C. (2014.) The tortoise and the (soft)ware: Moore’s Law, Amdahl’s Law, and performance trends for human-machine systems. Journal of Usability Studies, 9, 129-151.
  • Gwizdka, J. (2014). News Stories Relevance Effects on Eye-Movement. In Proceedings of the Symposium on Eye Tracking Research and Applications (ETRA’2014). (pp. 283–286). New York, NY, USA: ACM. doi:10.1145/2578153.2578198
  • Zhang, Y., Gwizdka, J. (2014). Effects of Tasks at Similar and Different Complexity Level. Poster presented at the 77th annual meeting of the American Society for Information Systems and Technology (ASIS&T), Seattle, WA.
  • Gwizdka, J. (2014). Tracking Information Relevance. In Proceedings of the Gmunden Retreat on NeuroIS 2014. (pp. 29-31). June 5-7, 2013. Gmunden, Austria

2013

  • Bias, R. G., Kortum, P., Sauro, J., & Gillan, D. (2013). Clothing the naked emperor. interactions, 20(6), November + December, New York: ACM.
  • Bias, R. G., and Hoffman, R. (2013). Where’s the rigor in the field of usability analysis? IEEE Intelligent Systems, 28(6), 66-72.
  • Gwizdka , J. (2013). Effects of working memory capacity on users’ search effort. In Proceedings of the International Conference on Multimedia, Interaction, Design and Innovation (pp. 1 1:1 – 11:8). New York, NY, USA: ACM. doi:10.1145/2500342.2500358.
  • Gwizdka, J. (2013). Searchers Switch Tactics Under Increased Mental Load. Poster presented at the 76th annual meeting of the American Society for Information Systems and Technology (ASIS&T), Montreal, QC, Canada
  • Gwizdka , J., & Cole, M. (2013). Does interactive search result s overview help?: an eye tracking study. In CHI ’13 Extended Abstracts on Human Factors in Computing Systems (pp. 1869 – 1874). New York, NY, USA: ACM.
  • Gwizdka, J. (2013). Looking for Information Relevance in the Brain. In Gmunden Retreat on NeuroIS 2013 (p. 14). Gmunden, Austria. Zemlicka Most Visionary Paper Award

2012

  • Bias, R. G., Marty, P. F., & Douglas, I. (2012). Usability / User-centered design in the iSchools: Justifying a teaching philosophy. Journal of Education in Library and Information Science. 53 (4): 274-289.
  • Liu, D., Bias, R. G., Lease, M., & Kuipers, R. (2012) Crowdsourcing for usability testing. Paper submitted to the annual meeting of the American Society of Information Science and Technology, Baltimore, October, 2012.
  • 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.

2011

  • Huang, S. (2011). Icons: pictures or logograms? iConference ’11: Inspiration, Integrity, Intrepidity (February 8-11, 2011, Seattle, WA).
  • Huang, S. (2011). A large-N survey of 500 stimuli of visual information. ALISE ’11Competitiveness & Innovation (January 4-7, 2011, San Diego, CA).
  • Huang, S. and Bias, R. G. (2011). A semiotic analysis of interactions between end users and information systems. In Hannakaisa Isomaki & Samuli Pekkola (Eds.), Reframing Humans in Information Systems Development (pp.75-92). London: Springer.
  • Richeson, A., Bertus, E., Bias, R. G., & Tate, J. (2011). Employing ROI methods in usability. In R. Proctor and K. Vu (Eds.), The Handbook of Human Factors in Web Design, 2nd Edition. CRC Press. 753– 764.

2010

  • Bias, R. G. (2010). A curriculum for usability professionals (and why we need one). Proceedings of the 3rd International Conference on Applied Human Factors and Ergonomics (AHFE), July, Miami.
  • Bias, R. G. (2010). Book review of Research Methods for Human Computer Interaction, P. Cairns & A. L. Cox (Eds.) Journal of the American Society of Information Science and Technology, 61:1, 204-205.
  • Bias, R. G., and Huang, S. (2010). Remote, remote, remote, remote usability testing. STC Technical Communication Summit 2010 (May 2-5, 2010, Dallas, TX).
  • Bias, R. G., Larson, K., Huang, S.-C., Aumer-Ryan, P., and Montesclaros, C. (2010). An exploratory study of visual and psychological correlates of preference for onscreen subpixel-rendered text. Journal of the American Society of Information Science and Technology, 61:4, 745-757.
  • Bias, R. G. (2010). Book review of Reading and Writing the Electronic Book: Synthesis Lectures on Information Concepts, Retrieval, and Services, Catherine C. Marshall, and The Case for Books: Past, Present and Future, Robert Darnton. Journal of the American Society of Information Science and Technology, 61,12, 2588–2591
  • Moore, M. J., & Bias, R. G. (2010). What lessons can we generalize from evaluation and usability of a health website designed for lower literacy health consumers? Division of Chemical Information, American Chemical Society, August, Boston MA.

2009

  • Huang, S., Bias, R. G., Payne, T. L & Rogers, J. B. (2009). Remote Usability Testing: A Practice JCDL ’09 Annual Meeting: Designing Tomorrow, Preserving the Past–Today (June 15-19, 2009, Austin, TX).
  • Moore, M., Bias, R. G., Prentice, K., Fletcher, R., and Vaughn, T. (2009). Web usability testing with a Hispanic medically underserved population. Journal of the Medical Library Association, 97(2): 114–121.

2008

  • Bias, R. G. (2008). Panelist. Discount Testing by Amateurs: Threat or Menace? Steve Krug (Chair). Usability Professionals’ Association annual meeting, Baltimore, June.
  • Kortum, P., Bias, R. G., Knott, B. A., & Bushey, R. G. (2008). The effect of choice and announcement duration on the estimation of telephone hold time. International Journal of Technology and Human Interaction, 4, 29-53.

IX Lab Publications