MAS - Simulation and Human Factors Engineering

MAS, 2013

The 12^th International Conference on

Modeling and Applied Simulation

25 - 27 September 2013

Royal Olympic

Athens, Greece

Call For Papers

Simulation and Human Factors Engineering

at the International Conference on Modeling & Applied Simulation

(MAS 2013)

Chair: ^(a)Diego Crespo Pereira ;

Affiliation: ^(a)University of A Coruna

Contact: ^(a)dcrespo@udc.es

Deadlines for papers submission

Author’s instructions for paper submission

Track Description

Integration of human factors models is one of the most challenging issues in simulation. The consideration of ergonomic and behavioral aspects not only improve the accuracy of simulation models but also provide with new dimensions of analysis and experimentation such as health risks, motivation, comfort and other key subjective measures. There are many open questions concerning topics such as:

How can available models be integrated in simulation? How can their accuracy be improved?

What is the level of detail appropriate in practical applications?

What verification, validation and accreditation (VVA) techniques might be employed?

How do they affect a simulation project’s management?

How can human factors models contribute to the profitability of a simulation project?

We kindly invite you to submit contributions presenting experiences, case studies or advances in ergonomics, behavioral science, human factors models and their interface with simulation, irrespective of the field of application.

Topics include, but are not limited to the following areas:

· Ergonomics.

· Digital human models (DHM).

· Integration of DHMs and discrete event’s simulation.

· Human behavior simulation.

· Implementation of human behavior models in discrete events

· simulation.

· Integration of human behavior and ergonomic models.

· Data collection and analysis techniques for human factors engineering.

· Verification, validation and accreditation (VV&A) methods for human factors engineering.

· Optimization of human factors models.

· Management of simulation projects