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Hybrid Systems Integration and Simulation Laboratory (HSIS)


  • Professor Monifa Vaughn-Cooke
  • Professor Ali Mosleh
HSIS equip  
An Experiment in the Virtual Reality Cave  

The Hybrid-System Integration and Simulation Laboratory (HSIS Laboratory) is a cluster of several experimental and computational infrastructures for several interrelated research thrusts in human-system integration for advancing the design, operation, performance monitoring, and performance assessment of complex hybrid systems. Hybrid systems are defined as systems with interacting hardware, software, and human operators (also known as x-ware). The lab is at the core of a strategic initiative to leverage University of Maryland leadership in predictive modeling and simulation of complex hybrid systems and extend its presence to new domains of application such as distributed heterogeneous command and control (as in Unmanned Autonomous Vehicles – UAV), and smart resource management. A critical component of the required infrastructure is an experimental facility to support the integration of different forms of human data collection (survey, task performance, and cognitive and physiological response) and simulation capabilities for performance modeling (behavioral, statistical, simulation, network) to inform decision making and the user-centric design of complex systems and products. The two main areas of the laboratory (hard simulation and human data collection, soft simulation and modeling) are intrinsically linked and functionally support a more robust form of human-system performance modeling. These lab areas have the ability to incorporate the relevant research of other faculty. Examples of current research activities are (1) optimum allocation of decision-making between systems and human operators with UAVs as case study, with focus on identification and removal of human-system interaction failure modes, and (2) methodology for “guided simulation” of complex hybrid systems to efficiently identify system vulnerabilities to internal malfunctions and external factors.

HSIS Laboratory Equipment

Type of Data: Survey

  • Equipment and Software: Scantron iNSIGHT 4ES Imaging Scanner
    Details:  Offers capabilities of optical mark recognition (OMR) technology and other expanded functions through document imaging. The scanner scans an OMR form for written pencil and pen marks (such as bubbles, check marks, tick marks) and bar codes and can capture both images of full pages or image clips of text areas or text boxes. Design Expert OMR software will allow the design of scannable forms for both OMR and image-based form processing applications, which can be used to collect large amount of survey data in environments where digital survey tools are not possible.

Type of Data: Task Performance

  • Equipment and Software: Whiteboard, 77" Multitouch SmartBoard with UF75, and 1 projector
    Details: The lab is equipped with two SmartBoards with integrated projectors to test and record subjects’ performance (accuracy, speed, recognition, etc.) during a task. The SmartBoards will be used to replicate large screen interactive displays used in environments such as patient monitoring stations, nuclear power plant control rooms and airport control tower stations.
  • Equipment and Software: Virtual Reality Cave
    Details: Auditory, visual and tactile simulations will be used to provide an immersive environment to replicate cognitively intensive tasks typically performed in high-stress environments such as hospital emergency rooms and aviation. The virtual reality simulations can be used in conjunction with physiological response and other task performance measures to determine the impact of the environment on the subject.

Type of Data: Physiological Response

  • Equipment and Software: Zephyr Bioharness
    Details: The Bioharness is a wireless device worn around the chest of a subject that measures heart rate, breathing rate and skin temperature. Physiological data can then be used with task performance equipment to measure the dynamic patterns in subject health vitals during a task and the impact on resulting performance.

Type of Data: Simulation

  • Equipment and Software: Simulink
    Details: Simulink will aid in hierarchical modeling of complex and dynamic systems and simulation testing.
  • Equipment and Software: UMD ADS Platform
    Details: Probabilistic Simulation of Crew-System Response to Nuclear Power Plant Accidents
  • Equipment and Software: UMD SimPRA Platform
    Details: Guided Simulation of Complex Hybrid Systems (for Design and Operational Support)

Type of Data:  Behavioral and Statistical

  • Equipment and Software:  SAS Educational Analytic Suite
    Details: The Analytic Suite includes the standard SAS educational license with Base SAS, data visualization and reporting tools, analytic tools and other statistical packages.
  • Equipment and Software:  SAS Enterprise Miner
    Details:  Enterprise Miner streamlines the data mining process to create predictive and descriptive models based on large volumes of data. This includes capabilities for data sampling, partitioning, interactively linked plots and tables, and time series data preparation and analysis. This tool will be useful for subject data segmentation and analysis, which will facilitate individualized subject analyses based on demographics and other characteristics.
  • Equipment and Software:  SAS Text Mining
    Details:  This software is an add-on to Enterprise Miner and is used to code textual datasets and digital interview recordings to identify patterns that will be used to inform performance modeling.
  • Equipment and Software:  AutoMap
    Details:  AutoMap is a text mining tool that allows the same capabilities as SAS text mining but with integration into a dynamic network modeling tool (ORA).
  • Equipment and Software:  Minitab 16
    Details:  Minitab will be used for multivariate data analyses, DOE and other model building and validation tasks.
  • Equipment and Software: Matlab
    Details:  Matlab will be used to facilitate optimization modeling for HRA model implementation, comparative-effectiveness studies and decision making modeling.

Type of Data:  Dynamic Network

  • Equipment and Software:  Organizational Risk Analyzer (ORA)
    Details:  ORA is a dynamic meta-network assessment and analysis tool. It will be used to model multi-mode, multi-plex, multi-level networks, identify patterns in statistical and simulation data, and compare different networks and subjects within a network.

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