Publications

Journal papers (listed in Science Citation Index (SCI) and/or SCIE: Link to Thomson Reuters Web of Science

  • Wilson, K.A., Heinselman, P.L., and Kang, Z. (2018, accepted). Comparing Forecaster Eye Movements during the Warning Decision Process. Weather and Forecasting.
  • Kang, Z., Dragoo, M.R., Yeagle, L.N., Shehab, R.L., Yuan, H., Ding, L., and West, S.G. (2018, under minor revision). Adaptive learning pedagogy of Universal Design for Learning (UDL) for multimodal training. Journal of Aviation/Aerospace Education and Research.
  • Argyle, E. M. Gourley, J. J., Ling, C., Shehab, R. L, and Kang, Z. (2017). Effects of display design on signal detection in flash flood forecasting. International Journal of Human-Computer Studies, 99, 48-56.
  • Kang, Z. and Kim, K. (2017, published online before print). Multimodal perception study on virtual 3D curved textures with vision and touch for interactive multimedia systems. Multimedia Tools and Applications, 76, 1-15..
  • Kang, Z., Mandal, S., Crutchfield, J., Millan, A, and McClung, S. (2016). [Special issue on advances in eye tracking technology: Theory, algorithms, and applications]. Design concepts and algorithms in eye tracking research for a multi-element objects tracking-and-controlling task to support human performance analysis. Computational Intelligence and Neuroscience, 2016(1), 1-18.
  • Kang, Z. and Morin, T. (2016). Multi attribute decision making under imperfect information and uncertain outcome of an unfair bidding game. International Journal of Information Technology & Decision Making, 15(1), 63-18.
  • McClung, S. and Kang, Z. (2016). [Special issue on advances in eye tracking technology: Theory, algorithms, and applications]. Characterization of Visual Scanning Patterns in Air Traffic Control. Computational Intelligence and Neuroscience, 2016(1), 19-35.
  • Wilson, K. A., Heinselman, P. L., and Kang, Z. (2016). Exploring applications of eyetracking in operational meteorology research. Bulletin of the American Meteorological Society, 97(11), 2019-2025.
  • Wilson, K. A., Heinselman, P. L., Kuster, C. M., Kingfield, D. M. and Kang, Z. (2016). Forecaster Performance and Workload: Does Radar Update Time Matter? Weather and Forecasting, 32, 253-274.
  • Kang, Z. and Landry, S.J. (2015). An eye movement analysis algorithm for a multi-element target tracking task: Maximum transition-based agglomerative hierarchical clustering.IEEE Transactions on Human-Machine Systems, 45(1), 13-24.*
  • *Received Andrew P. Sage Best Transactions Paper Award.
  • Kang, Z. and Landry, S.J. (2014). Using scanpaths as a learning method for a conflict detection task of multiple target tracking. Human Factors: The Journal of Human Factors and Ergonomics Society. 56 (1), 1150-1162.
  • Kang, Z. and Landry, S. J. (2014). Top-down approach for a linguistic fuzzy logic model. Cybernetics and Systems: An International Journal, 45(1), 39-55.

Conference papers

  • Kang, Z. and Jeon, J. (2018). Situation awareness assessment through protocol and eye tracking analyses. In Proceedings of the 2018 Institute of Industrial and Systems Engineers (IISE) Annual Conference , May 19-22, Orlando, FL.
  • Kiran, R., Salehi, S., Jeon, J., and Kang Z. (2018). Enhancing Situation Awareness and Process Safety in Offshore Drilling Operations: Applications of Eye-Tracking System. In Proceedings of the 50th Annual Offshore Technology Conference , Apr. 30-May 3. Houston, TX.
  • Naeeri, S. M., Kang, Z. (2018). Exploring the relationship between pilot’s performance and fatigue when interacting with cockpit interfaces. In Proceedings of the 2018 Institute of Industrial and Systems Engineers (IISE) Annual Conference, May 19-22, Orlando, FL.
  • Kang, Z. (2017). Real time eye movement analysis framework. In Proceedings of the 2nd International Conference on Bio-engineering for Smart Technologies (2017 BioSmart), Aug. 30-Sep. 1, Paris, France.*
  • *Received Best Presentation Award.
  • Kang, Z., Dragoo, M.R., Yeagle, L.N., Shehab, R. L., Yuan, H., Ding, L., and West, S. G. (2017). Adaptive learning pedagogy in Universal Design for Learning and multimodal training. In Proceedings of the 2017 National Training Aircraft Symposium (NTAS), Aug. 14-16. Daytona Beach, FL.
  • Kang, Z., Mandal, S., and Dyer, J. (2017). Data visualization approaches in eye tracking to support the learning of air traffic control operations. In Proceedings of the 2017 National Training Aircraft Symposium (NTAS), Aug. 14-16. Daytona Beach, FL.
  • Khamaj, A., Shehab, R., and Kang, Z. (2017). Efficiency and distraction evaluations of motorcycles mounted infotainment systems and controls. In Proceedings of the 6th Annual World Conference of the Society for Industrial and Systems EngineeringHerndon, VA. 169-175.
  • Naeeri, S., and Kang, Z. (2017). Analysis of Pilot’s Visual Scanning Characteristics under Normal and Extreme Flight Conditions. In Proceedings of the 6th Annual World Conference of the Society for Industrial and Systems Engineering, Herndon, VA. 227-233.
  • Yuan, H., Rippetoe, J., Ding, L., Kang, Z., Shehab, R. L., and West. S. G. (2017). Universal Design for Learning in the framework of neuroscience-based education and neuroimaging-based assessment. In Proceedings of the 2nd International Conference on Bio-engineering for Smart Technologies (2017 BioSmart), Aug. 30-Sep. 1, Paris, France.
  • Bowden, K. A., Heinselman, P. L., and Kang, Z. (2016). Eye-tracking applications to assess impacts of phased array radar data on forecasters’ cognitive processes. 32nd Conference on Environmental Information Processing Technologies, American meteorological society, New Orleans, LA.
  • Mandal, S., Kang, Z., Crutchfield, J., and Millan, A. (2016). Data visualization and development of quantitative metrics for analyzing eye movement data using directed weighted networks for a dynamic task of multiple moving objects. In Proceedings of the Human Factors and Ergonomics Society 60th Annual Meeting, Washington D.C.*
  • *Received Best Student Paper Award (first place) by the Aerospace Technical Group.
  • Mandal, S. and Kang, Z. (2015). Eye tracking analysis using different types of Areas of Interest for multi-element moving objects: Results and implications of a pilot study in air traffic control. In Proceedings of the Human Factors and Ergonomics Society 59th Annual Meeting, Los Angeles, CA.
  • Kang, Z.and Bass, E.J. (2014). Supporting the eye tracking analysis of multiple moving targets: Design concept and algorithm. IEEE International Conference on Systems, Man, and Cybernetics. San Diego, CA, pp. 3191-3196.
  • Kang, Z., Bass, E.J., and Lee, D.W. (2014). Air traffic controllers’ visual scanning, aircraft selection, and comparison strategies in support of conflict detection. In Proceedings of the 58th Annual Meeting of the Human Factors and Ergonomics Society. Chicago, IL, 68 (1), pp. 77- 81.
  • Kang, Z. and Bass, E. J. (2013). Computationally tractable approaches to modeling the coverage of weather sensor networks. IEEE International Conference on Systems, Man, and Cybernetics, Manchester, England, pp. 4905-4912.
  • Kang, Z. and Landry, S. J. (2010). Capturing and analyzing visual groupings of multiple moving targets in an aircraft conflict detection task using eye movements, In Proceedings of the Human Factors and Ergonomics Society 54th Annual Meeting, San Francisco, CA, pp. 1906-1910.

Technical Reports

  • Kang, Z. (2017). Development of design concepts and algorithms in eye tracking research for a multi-element objects tracking task to support human performance analysis. Federal Aviation Administration.
  • Kang, Z. (2017). Development of a mixed methods approach to inform the design of new learning methods for a complex task: An application in multiple objects tracking task. Center for Research Program Development and Enrichment at the University of Oklahoma.
  • Bass, E. J., Kang, Z., Philips, B., Lyons, E. , Bajaj, A., Junyent, F., and Beauchamp, R. (2014). Healthcare Systems Integrated Warning Assessment (HIWA) final report. North Central Texas Trauma Regional Advisory Council.
  • Richard, J. P., Kang, Z., and Narisetty, A. K.(2006). SOM v2.0: A simplified optimization model for empty car assignments, Submitted to Union Pacific Co.