Training and assessment

A research group titled Training and Assessment Research Group (TARG) has been lead by prof. Nazir. The global market dynamics and competitiveness requires the systems to adapt and keep performing in a sustainable way. Therefore, improving performance, efficiency, safety, human machine interaction of systems involving technology, humans and their complex interaction/interdependence demands novel and innovative methods and subsequent solutions. Such methods and solutions can be achieved by rigorous, collaborative, and state of the art research, which is the core/primary focus/value of Training and Assessment Research Group (TARG).

The main research areas of TARG fall under the following topics:

Human Factors and Safety in complex socio-technical systems

 

  • Training Methods
  • Performance Assessment
  • Maritime Education and Training
  • Training Simulators
  • Performance Management
  • Accident Analysis
  • Training for Maritime Domain
  • Training in immersive environments
  • Design of Operator Training Simulator (OTS)
  • Training Methods Effectiveness
  • Training Evaluation
  • Impact of Training on Performance
  • Impact of Training on Safety
  • Design of Experiment to test training methods
  • Training Methods to improve Performance in terms of
      • Safety
      • Communication
      • Teamwork
      • Abnormal situation
      • Accidents

The concept of training the operators/seafarers before starting to work with real operations exists since decades. However, the perspective in which the training has been progressing requires significant improvements. The existing training methods, which have been mostly developed by subject matter expert with limited knowledge on the science of training, thus, resulting in loopholes that subsequently impair the performance of operators. The lack of integration of technological advancement, lack of integration of cross disciplinary expertise (e.g., Human Factors, cognitive sciences, industrial and organizational psychology, and engineering), and insufficient use of training in simulated abnormal situation and accident scenarios calls for improvement in existing training methods. Another focus area of TARG is the importance of identifying necessary performance indicators as a key when evaluating the performance of a system. In addition to identifying the performance indicators, knowledge of how to extract the data in an objective and unbiased manner is a challenging task. Ultimately, the performance indicator should reflect the level of analysis in the system and make sure that the indicator measures exactly what it is defined to measure.