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.
[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.
[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.
@article{"International Journal of Information, Control and Computer Sciences:57065", author = "Shiau-Feng Lin and Chiuhsiang Joe Lin and Rou-Wen Wang and Wei-Jung Shiang", title = "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.", keywords = "Virtual Reality, Training, Immersion, Visual
Attention, Visual Detection", volume = "5", number = "10", pages = "1121-5", }