Training of Procedural Tasks Through the Use of Virtual Reality and Direct Aids - Virtual Reality and Environments - page 66

2. Participants who prefer performing the next action by themselves although they do not
know it, so they make a lot of attempts to guess the correct option. In most cases, these
participants only spent more training time without making any improvement in their
knowledge. It would be suitable to define a maximum number of attempts, so after
achieving this limit the aid was provided automatically by the system. This maximum
number of attempts should be configurable and could depend on the profile of the trainee
or the target task.
3. Participants who want to have an easy access to the aid when they do not know how to
continue. These participants were annoyed by being forced to make an attempt of grasping
the correct brick before being able to receive the aid, and in addition the training time
increased without any benefit. In this case, when the trainees do not know how to continue,
it is important that they can receive the aid from the system easily.
Lastly, a final recommendation for the future implementation of virtual training systems is
that the system should detect and evaluate the behaviour of trainees along the training session
in order to display adequate information according with the evolution of their performance.
6. Acknowledgment
The authors would like to acknowledge the project SKILLS in the framework of European IST
FP6 ICT-IP-035005-2006 and the “Ministerio de Ciencia e Innovación” (Spain).
7. References
Albani, J. & Lee, D. (2007). Virtual reality-assisted robotic surgery simulation, Journal of
Endourology 21: 285-287.
Basdogan, C., Ho, C., Srinivasan, M. & Slater, M. (2000). An experimental study on the
role of touch in shared virtual environments, ACM Transactions on Computer-Human
Interaction 7: 443-460.
Bhatti, A., Khoo, Y., Bing, C., Douglas, A. J., Nahavandi, S. & Zhou, M. (2008). Haptically
enabled interactive virtual reality prototype for general assembly., Proceedings of the
World Automation Congress WAC 08 , pp. 1-6.
Blake, M. (1996). The nasa advanced concepts flight simulator - a unique transport aircraft
research environment., The AIAA Flight Simulation Technologies Conference .
Borro, D., Savall, J., Amundarain, A., Gil, J., García-Alonso, A. & Matey, L. (2004). A
large haptic device for aircraft engine maintainability, IEEE Computer Graphics and
Applications .
Dale, E. (1969). Audio-Visual Methods in Teaching ,NewYork.
Derossis, A. M., Bothwell, J., Sigman, H. H. & Fried, G. M. (1998). The effect of practice on
performance in a laparoscopic simulator., Surgical Endoscopy 12: 1117-1120.
Doyle, M. C. & Snowden, R. J. (2001). Identification of visual stimuli is improved by
accompanying auditory stimuli: The role of eye movements and sound location.,
Perception 30: 795-810.
Ernst, M. O. & Bülthoff, H. H. (2004). Merging the senses into a robust percept., Tr e nd s i n
Cognitive Science 8: 162-169.
Gaba, D. M. (1991). Human performance issues in anesthesia patient safety., Problems in
Anesthesia 5: 329-350.
Gaba, D. M. & DeAnda, A. (1988). A comprehensive anesthesia simulation environment:
re-creating the operating room for research and training, Anesthesiology 69: 387-394.