Stereo computer graphics: and other true 3D technologies
Stereo computer graphics: and other true 3D technologies
Proceedings of the 29th conference on Winter simulation
VRID: a design model and methodology for developing virtual reality interfaces
VRST '01 Proceedings of the ACM symposium on Virtual reality software and technology
Seeing is believing: the importance of visualization in manufacturing simulation
Proceedings of the 32nd conference on Winter simulation
Simulation software: an Operational Research Society survey of academic and industrial users
Proceedings of the 32nd conference on Winter simulation
3D visualization of simulated construction operations
Proceedings of the 32nd conference on Winter simulation
Validating complex construction simulation models using 3D visualization
Systems Analysis Modelling Simulation
Virtual worlds: experiencing virtual factories of the future
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Experimental investigation of the impacts of virtual reality on discrete-event simulation
WSC '05 Proceedings of the 37th conference on Winter simulation
Practitioners' perception of the impacts of virtual reality on discrete-event simulation
WSC '05 Proceedings of the 37th conference on Winter simulation
Aggregated 3D-visualization of a distributed simulation experiment of a queuing system
Proceedings of the 40th Conference on Winter Simulation
Multiple worlds in simulation games for spatial decision making: concept and architecture
Proceedings of the 40th Conference on Winter Simulation
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The use of two-dimensional (2D) and three-dimensional (3D) visual displays for discrete-event simulation (DES) has become very popular within the simulation community in recent years. This paper presents results from surveys of users of 3D and 2D simulation applications regarding their views of the impact, benefits and drawbacks of 3D displays. The results indicate that 3D displays can often be more effective than 2D displays in communication, verification and validation, and experimentation. This can lead to a better project outcome with an improved understanding of the real system and a better solution for the decision maker. The main drawback is the additional cost, time and complexity of building the model. Potential implications for modeling in general are the importance of being able to relate the model to the real system and of involving the decision maker in the modeling process.