The Effects of Immersion on Visual Attention and Detection of Signals Performance for Virtual Reality Training Systems

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.




References:
[1] 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.
[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.
[3] 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.
[4] 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.
[5] 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.
[6] E. Hollnagel, and A. Bye, Principles for modelling function allocation.
International Journal of Human-Computer Studies 52 (2000) 253-265.
[7] 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.
[8] 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.
[9] M.B. Huey, and C.D. Wickens, Workload transition: Implications for
individual and team performance, DC: National Academy Press,
Washington, 1993.