Research Keywords

  • Cognitive processes
  • Human information processing models
  • Multiple target tracking
  • Visual scanning patterns and their visualization
  • Usability testing
  • Workload analysis
  • Signal detection theory
  • Assistive learning methods
  • Mixed methods

Current Research Applications

Air Traffic Management Systems

  1. This research involves a wide vareity of methods to aid air traffic controllers with managing multiple dynamic aircraft. Eye tracking data analysis is performed to further understand the cognitive process of controllers as they scan aircraft, then identify and solve conflicts between them. This understanding leads to detailed characterization of scanning strategies and more effective training methods.


    The image above on the left shows a zoomed-in area of a realistic simulation of an air traffic radar display. Each green diamond represents an aircraft, the line projecting out represents its travel direction, and the text is a data tag listing the flight number, altitude, and velocity respectively. The image on the right shows a 1.5 minute eye movement scan of an air traffic controller overlaid on a scenario including 20 aircraft. The circled numbers show the order in which the eye fixations were made and the white lines connecting them are rapid movements between fixations. There are many ways to characterize these scanning startegies including categories such as duration, number of comparisons between aircraft, and search patterns.


  2. The image to the left represents a simulated RADAR display of low altitude Enroute airspace. The Green dot shows the eye fixation location of an ATC. The green lines represent saccades of the eye movement. The image on the right represents the directed weighted network (DWN) representation of the AOI fixation sequence data of the ATC. The size and the colour of the nodes (AOIs) are proportional to the number of times the AOIs are visited and to the amount of eye fixation duration that happened on the AOIs respectively (Red means higher fixation duration yellow means lower fixation duration).

  3. In collaboration with the FAA, we have worked on (1) automating the process of mapping eye tracking data to multiple moving objects, and (2) developing eye tracking data visualization methods.

  4. Researchers:
    Lead: Dr. Ziho Kang
    Researchers in the Aerospace Human Factors Research Division at CAMI FAA
    Mr. Saptarshi Mandal
    Mrs. Sarah McClung
    Mr. Philip Stankovich


Pilot Cockpit Systems

  • This research involves the investigation of pilot behaviors when interacting with cockpit interfaces during prolonged flights. Human errors and interface usability issues will be investigated. More details TBA.

  • Researchers:
    Lead: Dr. Ziho Kang
    Mr. Salem Naeeri


Weather Forecasting and Alerting Systems

  1. Idenfication of forecasters' cognitive processes when detecting weather hazards. This research is based on a collaborative effort with researchers at NOAA.

  2. Researchers:
    Lead: Dr. Pamela Hiselman
    Dr. Ziho Kang
    Mrs. Katie Bowden


  3. Understanding forecasters' situation awareness when predicting flash floods.

  4. Researchers:
    Lead: Dr. Randa Shehab
    Dr. Ziho Kang
    Dr. Jonathan Gourley
    Dr. Elizabeth Argyle

  5. Usability testing of weather alert applications with support from Weather Decision Technologies (WDT).

  6. Researchers:
    Lead: Dr. Ziho Kang
    Mr. Khamaj Abdulrahman

    This research focuses on evaluating the usability and determining the usability issues of mobile weather alert applications. Specifically, we are investigating the Weather Radio application as the sample representative for the weather alert applications.

    The image above on the left is a screen shot of the home screen of the Weather Radio application. The image on the right shows a sample of eye movement scan of one of the application’s users.

Online Healthcare Systems

  • This research involves the usability of softkey when interacting with online healthcare systems using tablets. In addtion, we are investigating the users' comprehension level on the medical answers posted by the doctors. More details TBA.

  • Researchers:
    Lead: Dr. Ziho Kang
    Dr. Kwangtaek Kim
    Mr. Lucas Mosoni
    Mrs. Sarah McClung

Universal Design for learning and Mutlimodal training

  • This research involves the investigation of UDL and multimodal training methods associated with state-of-the-art technologies such augemented reality, virtual reality, eye tracking research, and brain research. More details TBA.

  • Researchers:
    Lead: Dr. Ziho Kang
    Dr. Randa Shehab
    Dr. Lei Diing
    Dr. Han Yuan
    Ms. Lauren Yeagle
    Ms. Mattlyn Dragoo

Analysis of visual scanning patterns and control strategies

  • This research involves the invesitgation of visual scanning stategies and aricraft control strategies in air traffic management system in order to use the findings as a learning method. More details TBA.

  • Researchers:
    Lead: Dr. Ziho Kang
    Dr. John Dyer
    Mr. Saptarshi Mandal

Enhancing Expert Containment, Decision Making, and Risk Communications: Virtual Reality Offshore Operations Training Infrastructure

  • This research is based on the Gulf BP oil crisis. We are investigating ways for operators to effectively perceive imminent risk and communicate among one another. More details TBA.

  • Researchers:
    Lead: Dr. Saeed Salehi
    Dr. Ziho Kang
    Dr. Edward Cokely
    Ms. Jiwon Jun

Marketing strategies: Investigation of human behavior when watching Youtube commercials

  • We are investigating the human behavior when presented with different message types. More details TBA.

  • Researchers:
    Lead: Dr. Doyle Yoon
    Dr. Ziho Kang
    Mr. Fuwei Sun
    Ms. Morgan Corn

Haptic cue: Predicting mouse or touchpad patterns

  • We are investigating whether we can use mouse or touchpad patterns as a control method. More details TBA.

  • Researchers:
    Lead: Dr. Ziho Kang
    Mr. Lucas Cezar