Abstract
In this article we discuss the problems related to the process of integrating a generic diagnostic tool in virtual environments for training. Virtual environments are suitable applications for training procedural tasks; however, they usually lack the tools to provide an educational dimension to the training. In this research we propose the use of DETECTive, a generic diagnostic tool, in order to facilitate the development of virtual environments which maximise the educational value of the training. We consider that usability of the integrated system is a priority issue. Therefore, we seek a balance between the cost of knowledge acquisition and reliability in the diagnostic phase. The virtual reality system educationally improved during this research is VIRTOOL, a virtual learning environment for machine-tool processes.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Stone, R.: Virtual reality for interactive training: an industrial practitioner’s viewpoint. Int. J. Human - Computer Studies 55, 699–711 (2001)
Tietronix Training Simulation, www.Tietronix.com
Fifth Dimension Technologies, www.5dt.com
Mellet d’Huart, D.: Virtual Environment for Training: An Art of Enhancing Reality. In: ITS 2002 Workshops, pp. 63–68 (2002)
Bloom, B.S., Engelhart, M.D., Murst, E.J., Hill, W.H., Drathwohl, D.R.: Taxonomy of Educational Objectives. In: The cognitive Domain, Longmans, Harlow (1956)
Ustarroz, A., Lozano, A., Matey, L., Siemon, J., Klockmann, D., Berasategi, M.I.: VIRTOOL – Virtual Reality for Machine–Tool Training. In: Virtual Concept 2002, Biarritz (2002)
Kautz, H., Allen, J.: Generalized Plan Recognition. In: Proceedings of the Fifth National Conference on Artificial Intelligence, pp. 32–37. American Association for Artificial Intelligence, Philadelphia (1986)
Greer, J.E., Koehn, G.M.: The Peculiarities of Plan Recognition for Intelligent Tutoring Systems. In: Workshop on The Next Generation of Plan Recognition Systems: Challenges for and Insight from Related Areas of AI held in IJCAI 1995 (1995)
Ferrero, B., Fernández-Castro, I., Urretavizcaya, M.: Diagnostic et évaluation dans les systèmes de training industriel. Diagnosis and assessment in industrial training systems. Simulation et formation professionnelle dans l’industrie 6(1), 189–217 (1999)
Martín, M.: Sistema de ayuda a la adquisición de conocimientos para el diagnóstico. Master Thesis in Computer Science, UPV/EHU (2002)
Ferrero, B., Arruarte, A., Fernández-Castro, I., Urretavizcaya, M.: Herramientas de Autor para Enseñanza y Diagnóstico: IRIS-D. Inteligencia Artificial 12, 13–28 (2001)
Munro, A., Johnson, M.C., Pizzini, Q.A., Surmon, D.S., Towne, D.M., Wogulis, J.L.: Authoring Simulation-Centered Tutors with RIDES. Int. Journal of Artificial Intelligence in Education 8, 284–316 (1997)
Johnson, W., Rickle, J., Stiles, R., Munro, A.: Integrating Pedagogical Agents into Virtual Environments. Presence: Teleoperators and Virtual Environments 7(6), 523–546 (1998)
Angros Jr., R., Lewis Johnson, W., Rickel, J., Scholer, A.: Learning Domain Knowledge for Teaching Procedural Skills. In: AAMAS 2002 (2002)
Blessing, S.B.: A Programming by Demonstration Authoring Tool for Model-Tracing Tutors. Int. Journal of Artificial Intelligence in Education 8, 233–261 (1997)
Stottler, R., Fu, D. Ramachandran, S., Jackson, T.: Applying a Generic Intelligent Tutoring System Authoring Tool to Specific Military Domains. Industry/Interservice, Training, Simulation & Education Conference (2001)
Stottler, R., Jensen, R.: Adding an Intelligent Tutoring System to an Existing Training Simulation. Industry/Interservice, Training, Simulation & Education Conference (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lozano, A., Urretavizcaya, M., Ferrero, B., Fernández de Castro, I., Ustarroz, A., Matey, L. (2004). Integration of a Generic Diagnostic Tool in Virtual Environments for Procedural Training. In: Conejo, R., Urretavizcaya, M., Pérez-de-la-Cruz, JL. (eds) Current Topics in Artificial Intelligence. TTIA 2003. Lecture Notes in Computer Science(), vol 3040. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25945-9_66
Download citation
DOI: https://doi.org/10.1007/978-3-540-25945-9_66
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22218-7
Online ISBN: 978-3-540-25945-9
eBook Packages: Springer Book Archive