Commenced in January 2007
Paper Count: 30172
The Effects of Immersion on Visual Attention and Detection of Signals Performance for Virtual Reality Training Systems
Abstract:The Virtual Reality (VR) is becoming increasingly important for business, education, and entertainment, therefore VR technology have been applied for training purposes in the areas of military, safety training and flying simulators. In particular, the superior and high reliability VR training system is very important in immersion. Manipulation training in immersive virtual environments is difficult partly because users must do without the hap contact with real objects they rely on in the real world to orient themselves and their manipulated. In this paper, we create a convincing questionnaire of immersion and an experiment to assess the influence of immersion on performance in VR training system. The Immersion Questionnaire (IQ) included spatial immersion, Psychological immersion, and Sensory immersion. We show that users with a training system complete visual attention and detection of signals. Twenty subjects were allocated to a factorial design consisting of two different VR systems (Desktop VR and Projector VR). The results indicated that different VR representation methods significantly affected the participants- Immersion dimensions.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1070037Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1440
 E. Bluemel, A. Hintze, T. Schulz, M. Schumann, and S. Stuering, Virtual environments for the training of maintenance and service tasks, Simulation Conference, 2003. Proceedings of the 2003 Winter, 2003, pp. 2001-2007 vol.2.
 V. Duffy, C. Washburn, P. Stringfellow, and A. Gramopadhye, Using Multimodal Technologies to Enhance Aviation Maintenance Inspection Training, Digital Human Modeling, Springer Berlin / Heidelberg, 2007, pp. 1018-1026.
 K.I. Kashiwa, T. Mitani, T. Tezuka, and H. Yoshikawa, Development of machine-maintenance training system in virtual environment, Robot and Human Communication, 1995. RO-MAN'95 TOKYO, Proceedings., 4th IEEE International Workshop on, 1995, pp. 295-300.
 C.F. Chuang, and H.P. Chou, Investigation of potential operation issues of human-system interface in Lungmen Nuclear Power Project. Ieee Transactions on Nuclear Science 52 (2005) 1004-1008.
 W.F. Stubler, J.M. O'Hara, J.C. Higgins, and J. Kramer, Human-System Interface and Plant Modernization Process: Technical Basis and Human Factors Review Guidance
[NUREG/CR-6637], DC: U.S. Nuclear Regulatory Commission, Washington, 2000.
 E. Hollnagel, and A. Bye, Principles for modelling function allocation. International Journal of Human-Computer Studies 52 (2000) 253-265.
 R. Parasuraman, T.B. Sheridan, and C.D. Wickens, A model for types and levels of human interaction with automation. Ieee Transactions on Systems Man and Cybernetics Part a-Systems and Humans 30 (2000) 286-297.
 A.A. Rizzo, T. Bowerly, J.G. Buckwalter, D. Klimchuk, R. Mitura, and T.D. Parsons, A virtual reality scenario for all seasons: The virtual classroom. Cns Spectrums 11 (2006) 35-44.
 M.B. Huey, and C.D. Wickens, Workload transition: Implications for individual and team performance, DC: National Academy Press, Washington, 1993.